STOC - Dynamic CPR (Auto TF + Trend Table)This indicator dynamically plots the Central Pivot Range (CPR) along with key pivot levels (R1, R2, S1, S2), and automatically adjusts the CPR timeframe based on the chart timeframe for accurate context: Daily CPR for intraday charts below 1 hour, Weekly CPR for 1-hour to daily charts, and Monthly CPR for daily, weekly, and monthly charts. A trend panel is displayed on the top-right showing whether the market is Bullish, Neutral, or Bearish depending on price position relative to the CPR band, helping traders quickly assess directional bias and support-resistance structure for intraday, swing, and positional trading.
Indicators and strategies
Volume State Box (Session-Normalized, M5)Zeigt in der Mitte des Charts oben das aktuellen Volumen an High Normal und Low der Session
Adaptive Risk Management [sgbpulse]1. Introduction:
Adaptive Risk Management is an advanced indicator designed to provide traders with a comprehensive risk management tool directly on the chart. Instead of relying on complex manual calculations, the indicator automates all critical steps of trade planning. It dynamically calculates the estimated Entry Price , the Stop Loss location, the required Position Size (Quantity) based on your capital and risk limits, and the three Take Profit targets based on your defined Reward/Risk ratios. The indicator displays all these essential data points clearly and visually on the chart, ensuring you always know the potential risk-reward profile of every trade.
ARM : The A daptive R isk M anagement every trader needs to ARM themselves with.
2. The Critical Importance of Risk Management
Proper risk management is the cornerstone of successful trading. Consistent profitability in the market is impossible without rigorously defining risk limits.
Risk Control: This starts by setting the maximum risk amount you are willing to lose in a single trade (Risk per Trade), and limiting the total capital allocated to the position (Max Capital per Trade).
Defining Boundaries (Stop Loss & Take Profit): It is mandatory to define a technical Stop Loss and a Take Profit target. A fundamental rule of risk management is that the Reward/Risk Ratio (R/R) must be a minimum of 1:1.
3. Core Features, Adaptivity, and Customization
The Adaptive Risk Management indicator is engineered for use across all major trading styles, including Swing Trading, Intraday Trading, and Scalping, providing consistent risk control regardless of the chosen timeframe.
Real-Time Dynamic Adaptivity: The indicator calculates all risk management parameters (Entry, Stop Loss, Quantity) dynamically with every new bar, thus adapting instantly to changing market conditions.
Trend Direction Adjustment: Define the analysis direction (Long/Uptrend or Short/Downtrend).
Intraday Session Data Control: Full control over whether lookback calculations will include data from Extended Trading Hours (ETH), or if the daily calculations will start actively only from the first bar of Regular Trading Hours (RTH).
Status Validation: The indicator performs critical status checks and displays clear Warning Messages if risk conditions are not met.
4. Intuitive Visualization and Real-Time Data
Dynamic Tracking Lines: The Entry Price and Stop Loss lines are updated with every new bar. Crucially, the length of these lines dynamically reflects the calculation's lookback range (e.g., the extent of Lookback Bars or the location of the confirmed Pivot Point), providing a visual anchor for the calculated price.
Risk and Reward Zones: The indicator creates a graphical background fill between Entry and Stop Loss (marked with the risk color) and between Entry and the Reward Targets (marked with the reward color).
Essential Information Labels: Labels are placed at the end of each line, providing critical data: Estimated Entry Price, Stock/Contract Quantity (Quantity), Total Entry Amount, Estimated Stop Loss, Risk per Share, Total Financial Risk (Risk Amount), Exit Amount, Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3.
4.1. Data Window Metrics (16 Full Series)
The indicator displays 16 full data series in the TradingView Data Window, allowing precise tracking of every calculation parameter:
Entry Data: Estimated Entry, Quantity, Entry Amount.
Risk Data (Stop Loss): Estimated Stop Loss, Risk per Share, Risk Amount, Exit Amount.
Reward Data (Take Profit): Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3.
4.2. Instant Tracking in the Status Line
The indicator displays 6 critical parameters continuously in the indicator's Status Line: Estimated Entry, Quantity, Estimated Stop Loss, Estimated Take Profit 1/2/3.
5. Detailed Indicator Inputs
5.1 General
Focused Trend: Defines the analysis direction (Uptrend / Downtrend).
Max Capital per Trade: The maximum amount allocated to purchasing stocks/contracts (in account currency).
Risk per Trade: The maximum amount the user is willing to risk in this single trade (in account currency).
ATR Length: The lookback period for the Average True Range (ATR) calculation.
5.2 Intraday Session Data Control
Regular Hours Limitation : If enabled, all daily lookback calculations (for Entry/Stop Loss anchor points) will begin strictly from the first Regular Trading Hours (RTH) bar. This limits the lookback range to the current RTH session, excluding preceding Extended Trading Hours (ETH) data. Only relevant for Intraday charts. Default: False (Off)
5.3 Entry Inputs
Entry Method: Selects the entry price calculation method:
Current Price: Uses the closing price of the current bar as the estimated entry point (Market Entry).
ATR Real Bodies Margin :
- Uptrend: Calculates the Maximum Real Body over the lookback period + the calculated safety margin.
- Downtrend: Calculates the Minimum Real Body over the lookback period - the calculated safety margin.
ATR Bars Margin :
- Uptrend: Calculates the Maximum High price over the lookback period + the calculated safety margin.
- Downtrend: Calculates the Minimum Low price over the lookback period - the calculated safety margin.
Lookback Bars: The number of bars used to calculate the extremes in the ATR-based entry methods (Relevant only for ATR Real Bodies Margin and ATR Bars Margin methods).
ATR Multiplier (Entry): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to determine the estimated Entry Price.
5.4 Risk Inputs (Stop Loss)
Risk Method: Selects the Stop Loss price calculation method.
ATR Current Price Margin :
- Uptrend: Entry Price - the calculated safety margin.
- Downtrend: Entry Price + the calculated safety margin.
ATR Current Bar Margin :
- Uptrend: Current Bar's Low price - the calculated safety margin.
- Downtrend: Current Bar's High price + the calculated safety margin.
ATR Bars Margin :
- Uptrend: Lowest Low over lookback period - the calculated safety margin.
- Downtrend: Highest High over lookback period + the calculated safety margin.
ATR Pivot Margin :
- Uptrend: The first confirmed Pivot Low point - the calculated safety margin.
- Downtrend: The first confirmed Pivot High point + the calculated safety margin.
Lookback Bars: The lookback period for finding the extreme price used in the 'ATR Bars Margin' calculation.
ATR Multiplier (Risk): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to place the estimated Stop Loss. Note: If set to 0, the Stop Loss will be placed exactly at the technical anchor point, provided the Minimum Margin Value is also 0.
Minimum Margin Value: The minimum price value (e.g., $0.01) the Stop Loss margin buffer must be.
Pivot (Left / Right): The number of bars required on either side of the pivot bar for confirmation (relevant only for the ATR Pivot Margin method).
5.5 Reward Inputs (Take Profit)
Show Take Profit 1/2/3: ON/OFF switch to control the visibility of each Take Profit target.
Reward/Risk Ratio 1/ 2/ 3: Defines the R/R ratio for the profit target. Must be ≥1.0.
6. Indicator Status/Warning Messages
In situations where the Stop Loss location cannot be calculated logically and validly, often caused by a mismatch between the configured Focused Trend (Uptrend/Downtrend) and the actual price action, the indicator will display a warning message, explaining the reason and suggesting corrective action.
Status Message 1: Pivot reference unavailable
Condition: The Stop Loss is set to the "ATR Pivot Margin" method, but the anchor point (Pivot) is missing or inaccessible.
Message Displayed: "Pivot reference unavailable. Wait for valid price action, or adjust the Regular Hours Limitation setting or Pivot Left/Right inputs."
Status Message 2: Calculated Stop Loss is unsafe
Condition: The calculated Stop Loss is placed illogically or unsafely relative to the trend direction and the Entry price.
Message Displayed: "Calculated Stop Loss is unsafe for current trend. Wait for valid price action or adjust SL Lookback/Multiplier."
7. Summary
The Adaptive Risk Management (ARM) indicator provides a seamless and systematic approach to trade execution and risk control. By dynamically automating all critical trade parameters—from Entry Price and Stop Loss placement to Position Sizing and Take Profit targets—ARM removes emotional bias and ensures every trade adheres strictly to your predefined risk profile.
Key Benefits:
Systematic Risk Control: Strict enforcement of maximum capital allocation and risk per trade limits.
Adaptivity: Dynamic calculation of prices and quantities based on real-time market data (ATR and Lookback).
Clarity and Trust: Clear on-chart visualization, precise data metrics (16 series), and unambiguous Status/Warning Messages ensure transparency and reliability.
ARM allows traders to focus on strategy and analysis, confident that their execution complies with the core principles of professional risk management.
Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
TSLL/TSLQ FlowThis script is built purely for trading the TSLL/TSLQ pair.
It tracks the spread between the two ETFs using Heikin-Ashi candles, measures how extreme that spread is with a Z-score, and only fires clean, non-repainting entries when the spread deviates more than your chosen threshold (default ~2.1σ).
A fast/slow EMA ribbon on the chart gives the broader trend context and instantly alerts on bullish/bearish flips.
Long = buy TSLL / short TSLQ when Z ≤ -2.1
Short = short TSLL / buy TSLQ when Z ≥ +2.1
All signals come with alerts so you never miss a setup.
FRPC - Fractal Reversal Permission ComponentThis tool identifies high-probability reversal points using a three-stage confirmation model:
1️⃣ Liquidity Sweep (LS)
Price must take out a previous fractal high/low, indicating stop-hunt liquidity removal.
2️⃣ Reclaim (RC)
After sweeping liquidity, price must close back inside the previous swing, showing absorption and rejection.
3️⃣ Break of Structure (BOS)
A structural break confirms a true shift in market direction and avoids false reversal signals.
FRPC only triggers BUY or SELL signals when all three layers align, creating actionable reversal conditions rather than random fractal noise.
This approach helps avoid chasing breakouts, filters low-quality sweeps, and identifies areas where reversals are statistically more likely.
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What FRRC Helps You Identify
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True reversals after stop-hunts
Liquidity grabs followed by displacement
Avoiding fake breakouts
Swing points with strong reaction potential
High-probability turning points with real structure support
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Sidenote
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The accuracy of the signals range from 56% to 72% and is mainly designed to be a structural filter to be paired with a strong exhaustion system. This is just a bare bones version and I plan to work on a more advanced version yo pair with the current exhaustion systems I'm building out
Smart Multi-TF StochasticSmart Multi-TF Stochastic (SMTF Stoch)
Smart Multi-TF Stochastic is a multi-layer momentum analysis system built on top of Stochastic signals from several timeframes. It combines four stochastic timeframes (15m / 1H / 2H / 4H), Premium–Equilibrium–Discount zones, dynamic weight reallocation, and adaptive smoothing into a single SMART oscillator that reflects the real market structure with higher accuracy.
Key Features
1. Multi-Timeframe Stochastic Engine
The indicator calculates Stochastic on four different timeframes:
15m – micro momentum
1H – local trend
2H – intraday structure
4H – primary trend
Core logic:
When the 4H trend is strong, higher timeframes receive more weight.
When the 4H trend weakens, the model shifts weight toward lower timeframes, which detect reversals earlier.
2. Premium / Equilibrium / Discount Zones
Based on the recent price range, the indicator determines where the asset currently trades:
Discount — ideal zone for long setups
Equilibrium — neutral territory
Premium — area for exits or reversals
Background shading is applied automatically.
3. SMART-Stochastic — Central Signal Line
The combined oscillator uses:
weighted logic depending on the strength of the higher timeframe trend,
adaptive smoothing (SMA / EMA / WMA / RMA),
dynamic color states:
green — strong bullish trend
red — strong bearish trend
yellow — uncertainty
4. Trading Signals
Long Entry Signal (“ENTRY LONG”)
Triggered when:
price is in Discount,
higher TF line is red/yellow (trend not fully bullish),
SMART-Stoch is below mid-level,
upward crossover through the entry threshold occurs.
Displayed as a green triangle.
Exit / Reversal Signal (“EXIT / REVERSAL”)
Triggered when:
price moves into Premium,
the SMART line exceeds the configured exit level.
Displayed as a red triangle.
Both signals only trigger once at the moment of confirmation.
5. Multi-TF Status Table
A compact table in the top-right corner shows:
stochastic values across all timeframes,
overbought/oversold indicators (🔥 / ❄️),
trend confirmations (✓ / ✗),
SMART signal markers (🚀 entry, ⚠️ exit).
6. Alerts
Built-in alert conditions:
“🚀 ENTRY LONG”
“🔴 EXIT / REVERSAL”
Designed for live trading automation.
Purpose
Smart Multi-TF Stochastic is intended for traders who rely on Premium/Discount logic, trend confirmation from higher timeframes, and precise timing on lower timeframes. It works both as a standalone decision system and as a high-quality confirmation tool in structured trading strategies.
Trade volume indicator @mybullandbearThe indicator consolidates Trend (MA), Momentum (RSI), Breakout (ORB), and Volume (CVD) into a single dashboard, giving you an objective "Green" or "Red" bias.
Mybullandbear View (CVD): This specific component tracks whether buying or selling volume is dominant for the day. It helps you avoid false breakouts—if price goes up but CVD is Red (Bearish), it's likely a trap.
How to Benefit: Wait for Confluence. Do not take a trade unless the Dashboard shows a clear consensus (e.g., Green Trend + Bullish CVD + Price above ORB High). This filters out low-quality trades and keeps you on the right side of the market.
market condition by moving averagewhen the 10ma and 20ma of S&P is sloping up, the indicator will show a green background, which means breakout trade has a higher chance of working out.
Ghost Pivots LiteGhost Pivots Lite
This indicator identifies potential swing points in real time using price-action thresholds and pivot analysis. It highlights momentum shifts that may precede breakouts or breakdowns while keeping the chart clean and overlay-friendly. The white text/circles/lines exhibited in the chart are to display what the Ghost Pivots look like when fully enabled in Settings/Style.
Key Features
Real-time detection of swing highs and lows based on customizable pivot length and swing thresholds.
Visual cues using dashed lines and labels for clear swing identification.
Minimal overlay elements to avoid clutter.
Works across all timeframes.
How It Works
The indicator calculates pivot highs and lows and applies a minimum swing-percentage threshold. When price movement meets or exceeds that threshold, the script plots a dashed line and label at the swing point. This offers a visual reference for momentum changes without issuing trading signals.
Why This Approach
Standard pivot indicators may lag or trigger excessively in volatile conditions. By combining pivots with a percentage-based swing filter, this version emphasizes meaningful momentum shifts and reduces noise.
How to Use (Step by Step)
Add the indicator to your chart.
Adjust outputs to your chart in Settings-Style
-Toggle on/off the ghosts
-Toggle on/off the lines from the ghost pivots
-Adjust precision-default is 1. Choices are 0-8.
Each stock or ETF has different behavior. This tool comes defaulted (1) to use with the SPY etf-adjust accordingly for others.
Notes
For informational and educational purposes only.
No financial, trading, or investment advice.
Alerts are observational only and do not include automated instructions.
Effective on any timeframe; consider reviewing historical examples with different settings/styles to understand behavior.
Protection Note
Source code is protected to safeguard proprietary swing-momentum logic combining pivot thresholds with price-percentage filters not available in standard open-source pivot indicators.
Mean Reversion Framework [LTS]LHAMA Trading Suite's Mean Reversion Framework is a VWAP-centric mean reversion and exhaustion tool that combines volatility regimes, volume-weighted extension zones, and multi-oscillator divergence detection into a single framework. It is designed to help traders quickly answer three questions on any chart:
How far is price stretched away from VWAP in standard deviations?
Is the current environment favorable or hostile to mean reversion?
Are there momentum divergences supporting a reversal or trend continuation idea?
Core components
1. Adaptive VWAP with standard deviation bands
The framework builds around a dynamically anchored VWAP with statistical bands:
VWAP line plotted from a rolling anchor point.
Standard deviation bands : ±1σ, ±2σ, ±2.5σ, and ±3σ around VWAP.
Extension zones : the area between ±2.5σ and ±3σ is highlighted as an “extension zone,” where price is statistically stretched from its mean.
Anchoring is automatic and timeframe-aware. When you change your charts timeframe, this will automatically adjust what VWAP you are looking at to make sure you're always using the anchoring research has shown to be most appropriate and relevant for that timeframe.
2. Reversion candle coloring
To highlight potentially climactic moves:
The script tracks a configurable volume average and multiplier.
When price touches the ±2.5σ extension zone and a candle meets one of these conditions, candles can be recolored:
Has above average volume, but below average candle body size.
Has lower volume than the previous candle.
An optional alert can be triggered when these extension touches occur.
The ideal reversion setup is a quick extension into the marked zone, which includes a high volume, small body candle at its peak, surrounded by lower volume candles in opposite directions. This shows an energetic push in one direction, followed by exhaustion and a fade back toward the mean.
3. Volatility regime detection
The script classifies the current volatility regime using ATR:
Calculates ATR over a user-defined lookback.
Computes the percentile rank of current ATR relative to its recent history.
Labels the environment as:
HIGH volatility (ATR percentile at or above the high threshold).
LOW volatility (at or below the low threshold).
MODERATE otherwise.
The current regime and ATR percentile are displayed on the dashboard and can be used as context for whether mean-reversion setups may be more or less favorable. Alerts can fire when volatility crosses into high or low regimes so users can adjust expectations or strategies if desired.
4. RSI & Stochastic divergence framework
The indicator includes a combined divergence engine using RSI and Stochastic:
User-configurable RSI length.
User-configurable Stochastic K/D parameters.
Pivot-based detection with left/right lookbacks and a max lookback window.
Two main categories:
Regular divergences – potential reversal context.
Hidden divergences – potential trend continuation context.
For both RSI and Stochastic, the script looks for:
Bullish regular : price lower low vs. oscillator higher low.
Bearish regular : price higher high vs. oscillator lower high.
Hidden bullish : price higher low vs. oscillator lower low.
Hidden bearish : price lower high vs. oscillator higher high.
When conditions are met, the script will:
Plot labels on the price chart:
🔃 icons for regular (reversal) divergences.
⏩ icons for hidden (continuation) divergences.
Combine RSI and Stochastic confirmation into a single label when both agree, with tooltips explaining:
Price structure (HH/HL/LL/LH).
Which oscillator(s) confirmed the divergence.
Whether the pattern suggests potential reversal or continuation.
Optionally trigger alerts for each divergence type when alerts are enabled.
Divergence labels are based on confirmed pivots, so they appear with a delay relative to the pivot bar. They are not predictive and should be treated as contextual information rather than standalone trade signals.
5. Dashboard overlay
An on-chart dashboard summarizes the most important state variables in a compact table:
VWAP Anchor – shows the effective anchor logic currently in use (“Session/Week/Month”, “5-Day Rolling” or “Yearly (Jan 1)”).
Alert Status – ACTIVE, COOLDOWN, or DISABLED.
Volatility Regime – HIGH / MODERATE / LOW with the current ATR percentile.
VWAP Value – current VWAP price.
Price vs VWAP – distance of price from VWAP in standard deviations (σ).
ATR – current ATR value for the selected length.
The dashboard can be toggled on or off and moved to any corner of the chart (top/bottom, left/right).
6. Alert system & cooldown
The script defines multiple alert conditions so users can build their own rules around mean reversion and volatility changes:
Extension zone alerts :
Price enters upper extension (≥ +2.5σ).
Price enters lower extension (≤ −2.5σ).
Price enters any extension zone.
High-volume candle touching an extension zone.
Divergence alerts :
Regular bullish / bearish divergence.
Hidden bullish / bearish divergence.
Volatility regime alerts :
ATR percentile crosses into HIGH volatility.
ATR percentile crosses into LOW volatility.
To reduce alert noise around VWAP resets, there is an optional alert cooldown :
At the start of a new VWAP period (session/5-day/yearly, depending on timeframe), the script can enter a cooldown phase.
During cooldown, extension-related alerts are temporarily suppressed for a user-defined number of minutes.
Volatility regime alerts remain active, as they reflect broader structural changes rather than short-term VWAP resets.
Users can disable the cooldown by setting its duration to 0.
LSI Slim - EMA4/8 + Volume Filter + Sweep Targets V1📌 LSI Slim – EMA4/8 + Volume Filter + Sweep Targets
LSI Slim is a lightweight but highly effective market-structure tool that combines liquidity sweep detection, volume confirmation, higher-TF EMA signals, and dynamic target generation.
It is designed for traders who want a clean chart, fast confirmation, and objective target levels derived from real market behavior.
🔍 Key Features
1. Liquidity Sweep Detection
Automatically identifies simple bullish and bearish liquidity sweeps using recent swing extremes.
Each sweep is stored and plotted with optional fading lines to visually track market intent.
2. EMA 4/8 Confirmation (Higher Timeframe)
Built-in higher-timeframe confirmation using EMA 4 and EMA 8 crossovers.
Cross signals can optionally display labels and debug markers.
3. Adaptive Volume Filter
Two selectable volume-strength modes:
Incremental z-score increase
Negative-to-positive transition
The volume filter acts as an additional confirmation layer for sweep validations.
4. Intelligent Target Generation
Once a sweep is confirmed:
Targets (TP1–TP4) are projected using daily range or ATR fallback
Optional FVG override automatically snaps TP1 to the nearest Fair Value Gap when relevant
Targets are rendered with adjustable opacity and forward extension
5. Clean Visual Interface
Designed to stay lightweight and non-intrusive:
Adjustable max number of sweep lines
Optional fading for older levels
Minimalistic labels and shapes for clarity
🎯 Ideal For
Liquidity-based traders
Market structure practitioners
EMA-trend traders
Volume confirmation strategies
Intraday and swing trading across all markets
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test on historical data and use proper risk management.
PRICE ACTION TRAKKERThis indicator isolates the core price-phase engine from the full Price Action Tracker (PAT) system.
It identifies and visualises structural phases of price, including:
Upper phase boundary (dynamic resistance)
Lower phase boundary (dynamic support)
Phase average (mean-reversion anchor)
Pivot markers (LPH, LPL, oLPH, oLPL)
The phase engine dynamically adapts to evolving market structure using pivot behaviour and structural breaks. This creates a real-time visual map of how price is organising itself — independent of time-based indicators and without the lag associated with classical moving averages.
This version focuses exclusively on price action structure, making it clean, fast, and ideal as a core tool on its own.
However, it is also designed as a foundation for more advanced analysis and will expand over time as additional modules are released.
This phase engine works exceptionally well in combination with my other indicators, such as moving-average structure tools, volume-weighted frameworks, and trend-strength models. Together, they provide a layered view of market behaviour:
phase structure → trend bias → volume confirmation → entry logic.
This makes the indicator valuable for:
Intra-day and swing traders
Wyckoff and liquidity-based traders
Mean-reversion and range-trading strategies
Understanding where accumulation/distribution behaviour is forming
Identifying when a phase is likely ending or breaking
Future updates will add modular expansion paths (trend scoring, VWAP phase weighting, multi-phase confluence, and signal logic), while maintaining the simplicity and reliability of this core engine.
Works Best With:
This indicator is part of a broader toolkit designed to analyse structure, trend, and behaviour.
When used alongside my other published tools — such as trend-strength MAs, VWMA frameworks, and higher-timeframe bias indicators — it provides a complete, multi-layered view of market conditions.
Aroon High R02 - With RR Exit + TP Toggle + VWAPWhat this indicator is for
This is a trend-continuation breakout trading indicator designed to:
Catch strong upside momentum
Enter only after confirmation
Manage risk using fixed SL, RR-based trailing SL, and optional TP
Filter bad trades using VWAP
It’s meant for intraday & positional trading on indices and stocks.
Pivot Boss IndicatorsPivot boss indicators shows central pivot range and pivot levels for support and resistance.
Market Dynamics - Backtest Engine [NeuraAlgo]Market Dynamics – Backtest Engine
Market Dynamics – Backtest Engine is an advanced research-grade trading framework engineered by NeuraAlgo.
🔹 Core Engine – Dynamic Trend Model
The strategy leverages the NeuraAlgo – Market Dynamics indicator as its foundation, providing intelligent insights to guide trading decisions. It is designed to automatically identify the optimal settings for the NeuraAlgo – Market Dynamics indicator, helping traders fine-tune their strategy for maximum efficiency, accuracy, and profitability. This engine dynamically adapts to market conditions, ensuring your strategy stays optimized in real-time.
🔹 Optimization Engine
A built-in optimization module allows automatic testing of:
Winrate-focused configurations
Profit-focused configurations
Sensitivity ranges
Step sizes
Main Entry, Main Filter, Feature Filter, and Risk Manager categories
This enables rapid identification of optimal parameters similar to a lightweight AI optimizer.
This Backtesting + Auto Optimization Engine includes an integrated optimizer that automatically tests sensitivity ranges:
Maximize Winrate
Maximize Profits
Optimize Main Entries, Risk Manager, or Feature Filters
Users can set:
start sensitivity
step size
parameter category
The engine autonomously computes which parameter delivers the strongest performance.
🔹 How To Use
1. Identify the Parameters
First, you need to know which indicator parameters can be optimized. For the NeuraAlgo – Market Dynamics indicator, these might include:
Trend sensitivity
Smoothing periods
Threshold values for bullish/bearish signals
These parameters are the inputs your engine will test.
2. Define a Range
For each parameter, define a range of values to test. Example:
Sensitivity: 2 → 10
Trend period: 14 → 50
Threshold: 0.1 → 1.0
The more granular the range, the more precise the optimization—but it will also take longer.
3. Run Backtest Optimization
Attach the strategy to a chart.
Select optimization mode in your engine (or set the range for each parameter).
Start the backtest: the engine will simulate trades for every combination of parameter values.
The system will automatically record key metrics for each run:
Net profit
Win rate
Profit factor
Max drawdown
4. Analyze the Results
After the backtest, your engine will display a results table or chart showing performance for each parameter combination. Look for:
Highest net profit
Highest win rate
Or a combination depending on your strategy goals
Some engines will highlight the “best” parameter set automatically.
5. Apply Optimal Settings
Once identified:
Select the best-performing parameter values.
Apply them to your live strategy or paper trade.
Optionally, forward test to confirm they work on unseen market data.
Congratulations! The setup is now optimized.
🔹 Conclusion
The backtest optimization process helps you find the best parameter values for the NeuraAlgo – Market Dynamics indicator by systematically testing different settings and measuring their performance. By analyzing metrics like net profit, win rate, and drawdown, you can select optimized parameters that are more likely to perform consistently in real trading. Proper optimization ensures your strategy is data-driven, adaptable, and reduces guesswork, giving you a stronger edge in the market.
Tariq Supertrend StrategyThis Strategy which points out the best time to enter in Long Trade or Short Trade
Fekry BB Entry/Exit with EMA FilterThis indicator is based on Bollinger Bands and exponential moving average strategy by Mr Kekry Zain
BTC - FRIC: Friction & Realized Intensity CompositeTitle: BTC - FRIC: Friction & Realized Intensity Composite
Data: IntoTheBlock
Overview & Philosophy
FRIC (Friction & Realized Intensity Composite) is a specialized on-chain oscillator designed to visualize the "psychological battlegrounds" of the Bitcoin network.
Most indicators focus on Price or Momentum. FRIC focuses on Cost Basis. It operates on the thesis that the market experiences maximum "Friction" when the price revisits the cost basis of a large number of holders. These are the zones where investors are emotionally triggered to react—either to exit "at breakeven" after a loss (creating resistance) or to defend their entry (creating support).
This indicator answers two questions simultaneously:
Intensity: Is the market hitting a Wall (High Friction) or a Vacuum (Low Friction)?
Valuation: Is this happening at a market bottom or a top?
The "Alpha" (Wall vs. Vacuum)
Why we visualize both extremes: This indicator filters out the "Noise" (the middle range) to show you only the statistically significant anomalies.
1. The "Wall" (Positive Z-Score Bars)
What it is : A statistically high number of addresses are at breakeven.
The Implication : Expect a grind. Price action often slows down or reverses here because "Bag Holders" are selling into strength to get out flat, or new buyers are establishing a floor.
2. The "Vacuum" (Negative Z-Score Bars)
What it is : A statistically low number of addresses are at breakeven.
The Implication : Expect acceleration. The price is moving through a zone where very few people have a cost basis. With no natural "breakeven supply" to block the path, price often enters Price Discovery or Free Fall.
Methodology
The indicator constructs a composite view using two premium metrics from IntoTheBlock:
1. The "Activity" (Friction Z-Score): We utilize the Breakeven Addresses Percentage. This measures the % of all addresses where the current price equals the average cost basis.
- Normalization: We apply a rolling Z-Score (Standard Deviation) to this data.
- The Filter: We hide the "Noise" (e.g., Z-Scores between -2.0 and +2.0) to isolate only the events where market structure is truly stretched.
2. The "Context" (Valuation Heatmap): We utilize the MVRV Ratio to color-code the friction.
Deep Value (< 1.0): Price is below the average "Fair Value" of the network.
Overheated (> 3.0): Price is significantly extended above the "Fair Value."
Credit: The MVRV Ratio was originally conceptualized by Murad Mahmudov and David Puell. It remains one of the gold standards for detecting Bitcoin's fair value deviations.
How to Read the Indicator
The chart is visualized as a Noise-Filtered Heatmap.
1. The Bars (Intensity)
Bars Above Zero: High Friction (Congestion). The market is fighting through a supply wall.
Bars Below Zero: Low Friction (Vacuum). The market is accelerating through thin air.
Gray/Ghosted: Noise. Routine market activity; no significant signal.
2. The Colors (Valuation Context) The color tells you why the friction is happening:
🟦 Deep Blue (The "Capitulation Buy"):
Signal: High Friction + Low MVRV.
Meaning : Investors are panic-selling at breakeven/loss, but the asset is fundamentally undervalued. Historically, these are high-conviction cycle bottoms.
🟥 Dark Red (The "FOMO Sell"):
Signal: High Friction + High MVRV.
Meaning : Investors are churning at high valuations. Smart money is often distributing to late retail arrivers. Historically marks cycle tops.
🟨 Yellow/Orange (The "Trend Battle"):
Signal: High Friction + Neutral MVRV.
Meaning : The market is contesting a level within a trend (e.g., a mid-cycle correction).
Visual Guide & Features
10-Zone Heatmap: A granular color gradient that shifts from Dark Blue (Deep Value) → Sky Blue → Grey (Neutral) → Orange → Dark Red (Top).
Noise Filter
A unique feature that "ghosts out" insignificant data, leaving only the statistically relevant signals visible.
Data Check Monitor
A diagnostic table in the bottom-right corner that confirms the live connection to IntoTheBlock data streams and displays the current regime in real-time.
Settings
Lookback Period (Default: 90): The rolling window used for the Z-Score calculation. Shortening this (e.g., to 30) makes the indicator more sensitive to local volatility; lengthening it (e.g., to 365) aligns it with macro cycles.
Noise Threshold (Default: 2.0): The strictness of the filter. Only friction events exceeding this Z-Score will be highlighted in full color.
Show Status Table : Toggles the on-screen dashboard.
Disclaimer
This script is for research and educational purposes only. It relies on third-party on-chain data which may be subject to latency or revision. Past performance of on-chain metrics does not guarantee future price action.
Tags
bitcoin, btc, on-chain, mvrv, intotheblock, friction, z-score, fundamental, valuation, cycle
US Macro Dashboard: Rates, Unemployment, InflationThis script builds a macro dashboard that plots the US interest rate, unemployment rate, and year‑over‑year inflation on a single chart.
It pulls each series from TradingView’s economic data and displays them together so you can visually compare the three key indicators over time.
Ellipse Price Action Indicator v3Successful Trade Setup Using Ellipse Price Action Indicator (EPAI) 🔥
With the help of the Ellipse Price Action Indicator, this bearish trade setup played out perfectly.
EPAI generated a Sell Signal with a red arrow.
According to the EPAI method:
🔹 If price makes a new high on the next candle — add one more unit.
🔹 Every time a new high forms, add one more unit per candle.
🔹 Exit all units at the Moving Average (MA) — this is the core risk-controlled exit rule.
This is why EPAI consistently provides successful trade setups when followed with discipline.
⚠ Important Notice — Last Chance!
The Ellipse Price Action Indicator (EPAI) will soon become PRIVATE.
Access will be restricted only to Premium Members.
✅ First 25 subscribers can use this indicator absolutely FREE.
After that, it will not be available publicly.
3-Candle Reversal & Retest (Severin-style) v63-Candle Reversal & Retest (Severin-style)
What it does
Detects a three-candle reversal with a retest entry, then plots compact buy/sell markers anchored to the exact bar and price. Designed for fast execution timeframes (1–5m) but works on any TF.
Pattern logic (longs)
Approach candle: bearish candle closing above a chosen reference level.
Reversal candle: bullish candle with a minimum body size (filters out dojis). Optional requirement that it sweeps the prior low.
Retest/entry candle: dips back into a configurable fraction of candle #2’s body and closes bullish (lower wick first).
Shorts use the mirror conditions.
Reference level (choose one)
Manual level – type a price or drag the built-in cyan line.
Previous Day High/Low
Session VWAP
SMA (length input)
The approach candle must close on the correct side of this level (above for longs, below for shorts).
Signals & visuals
Green triangle = 3C Long. Plotted at low − pad ticks.
Red triangle = 3C Short. Plotted at high + pad ticks.
All markers are price-anchored (bar index + price), so they move with candles when you pan/zoom.
Option to keep markers only for the last N bars (prevents “floating” artefacts when the chart rescales).
Inputs
Reference source (Manual / PDH / PDL / VWAP / SMA)
Manual price and draggable line toggle (+ one-click reset)
Min body % for reversal candle
Require liquidity sweep on candle #2 (on/off)
Retest zone fraction of candle #2 body (e.g., 0.5 = lower/upper half)
Marker size and padding (in ticks)
Retain markers for last N bars
Alerts
“3C Long Entry” and “3C Short Entry” fire on bar close when the full three-candle pattern is confirmed.
How to use
Pick your reference. For manual levels, enable the draggable line and place it at your area (PD value area edge, key level, etc.).
Trade the first clean signal that forms around that reference, ideally confluencing with structure/flow (VWAP, prior day levels, liquidity pools).
Manage risk below/above the retest candle or the reversal candle, not the approach candle.
Tips
Works best after impulsive moves into a level, not in the middle of chop.
Tighten the min body % to avoid weak reversals on slow sessions.
On highly volatile alts, increase the retest fraction (e.g., 0.6–0.7) to demand a deeper retest.
Notes
This is an execution pattern, not a complete system. Add your own higher-timeframe bias and risk rules.
Nothing here is financial advice. Use position sizing and stops.






















