CPR Next Day by Eagle EyesCPR Next Day Indicator by Eagle Eyes
The CPR (Central Pivot Range) Next Day Indicator by Eagle Eyes helps traders identify key pivot levels for the upcoming trading session giving you a clear view of market structure, trend bias, and support–resistance zones in advance.
Индикаторы и стратегии
Hedge Fund Statistical Aggregate Index | QuantLapseHedge Fund Statistical Aggregate Index (LLF)
A Quantitative Macro-Technical Fusion Model for Cross-Asset Systemic Momentum Forecasting
Overview
The Hedge Fund Statistical Aggregate Index (LLF) is an institutional-grade, multi-layered quantitative framework designed to model systemic capital flow dynamics across crypto and macroeconomic markets. It integrates high-frequency technical structure analysis with global macro-liquidity aggregates, producing a unified signal that reflects both micro-trend strength and macroeconomic liquidity expansion or contraction.
This system was engineered to replicate the capital allocation logic of multi-asset hedge fund algorithms — aggregating rate-of-change metrics, volatility-adjusted momentum scores, and liquidity proxies into a single, normalized market sentiment index.
How Its Used
More accurate on a swing trading setup
Not used for scalping purposes
Used in longer term traders, from days to weeks, weeks to month, or month to years
Not used for mean reversion, overbought oversold valuation
Programed for high correlation assets
Could be used in stock market
Specifically designed for cryptocurrency
How to Interpret. How Signal is Produced
For this example, the based asset is CRYPTO:BTCUSD , If the trend calculations sense or predict a negative trend or positive trend on CRYPTO:BTCUSD , it will produce a signal on your current ticker. If the strategy is predicting CRYPTO:BTCUSD would be going down, it will produce a sell signal on your current chart, for this example, CRYPTO:SOLUSD . Vice Versa.
Colors: Green/Teal = High probability trending upwards
Colors: Pink/Red= High probability trending downwards
Buy/Long Signals: Buy when previous bar was trending down and current bar close is trending up.
Sell/Short Signals: Buy when previous bar was trending up and current bar close is trending down.
WARNING: IT WILL NOT EXIT YOU OUT OF A TRADE UNTIL THE BASE ASSET SIGNAL TURNS BUY OR SELL
Core Structure
The LLF architecture is composed of three synergistic domains:
Technical Layer (Short- to Medium-Term Price Mechanics)
Utilizes a suite of advanced mathematical transformations and adaptive algorithms to detect structural inflection points in market behavior.
These include:
Spectral Decomposition models for cycle extraction and volatility adaptation.
Adaptive trend-based oscillators that dynamically recalibrate to volatility and momentum asymmetries.
Volatility-indexed moving average systems for noise suppression and lag reduction.
Market median convergence engines to determine equilibrium bias and structural drift.
The ensemble produces a multi-factor technical sentiment score reflecting short-term directional confidence.
Higher Timeframe Technical Layer
A macro-synchronized extension of the primary model, integrating:
Multi-timeframe momentum coherence testing.
Cross-trend confirmation weighting between medium and high timeframe systems.
This provides alignment validation — filtering false short-term volatility impulses that
oppose dominant cyclical structure.
Macroeconomic Liquidity Layer (Global Monetary & Systemic Inputs)
This layer models the behavior of global liquidity expansion, credit conditions, and systemic monetary flow. It synthesizes live economic data through TradingView’s macroeconomic database to produce a normalized liquidity index.
Key components include:
Global M2 Money Supply Composite — tracking the aggregate liquidity expansion across the
U.S., Eurozone, Japan, China, and the U.K., adjusted for currency weightings.
Global Liquidity Index (GLI) — derived from a composite of sovereign bond yields (e.g.,
CN10Y), USD strength (DXY), high-yield spreads (BAMLH0A0HYM2), and central bank
balance sheets (Fed, BoJ, PBoC, ECB).
Net Liquidity Index — tracking the Federal Reserve’s total balance sheet net of reverse
repos, Treasury balances, and foreign deposits.
CNY Sovereign Yield × M2 Correlation Factor — serving as a global credit elasticity proxy,
measuring the relationship between Chinese sovereign yields and domestic monetary
supply as a leading indicator of risk-on global liquidity.
These components are dynamically weighted to measure real-time macro expansion or contraction — effectively identifying inflection points where global liquidity regimes transition, impacting risk-asset performance.
Aggregation & Signal Architecture
The LLF model unifies its three primary domains (Technical, HigherTF Technical, and Macroeconomic) through a Bayesian-style weighted aggregation process, resulting in an Overall Statistical Signal (OSS).
The OSS computes:
Cross-domain coherence (when technical and macro conditions align).
Rate of Change (RoC) differentials within a rolling 3-bar statistical window.
Normalized z-score deviations from baseline liquidity equilibrium.
Outputs are presented as:
Rate of Change Status: Indicates acceleration or deceleration of systemic conditions.
System Value: Normalized composite strength metric (-1.00 to +1.00).
System Signal: Trade direction derived from cross-confirmation among components.
Interpretation
Technical Index Reflects real-time momentum, volatility symmetry, and price dislocation probability.
HigherTF Technical Validates multi-timeframe momentum coherence. Filters false short-term moves.
Macroeconomic Index Measures global liquidity, credit expansion, and monetary flow trends. Determines macro regime bias.
Overall Signal: Aggregates all three domains to derive a probabilistic directional bias. Hedge-fund-level risk-on/risk-off classification.
System Dynamics
When global liquidity expansion (rising M2, GLI, or net liquidity) coincides with positive technical alignment across timeframes, LLF transitions to a Buy/Long regime — identifying systemic risk-on phases.
Conversely, when macro contraction or liquidity withdrawal synchronizes with technical deterioration, LLF transitions to a Sell/Short regime, signaling systemic deleveraging risk.
The Rate of Change Engine continuously measures short-horizon deltas between component scores to forecast momentum fatigue, trend acceleration, or liquidity inflection reversals.
Backtesting and Metrics
Integrated with the OfficalQLBacktestingMetrics provides institutional-grade analytics, including:
Sharpe & Sortino Ratios
Profit Factor & Trade Efficiency
Maximum Drawdown and Net Profit Tracking
Omega Ratio and Equity Curve Visualization
This performance analysis framework ensures statistical robustness and confirms the model’s capability to outperform passive benchmarks under varying macro regimes.
Summary
The Hedge Fund Statistical Aggregate Index (LLF) functions as a quantitative macro-sentiment engine — bridging technical precision with macroeconomic foresight.
By fusing market microstructure analytics with global liquidity intelligence, it provides an elite framework for detecting early-phase regime shifts, enabling traders, analysts, and funds to position ahead of systemic capital rotations.
testLibLibrary "testLib"
TODO: add library description here
mySMA(x)
TODO: add function description here
Parameters:
x (int) : TODO: add parameter x description here
Returns: TODO: add what function returns
livremySMATestLibLibrary "livremySMATestLib"
TODO: add library description here
mySMA(x)
TODO: add function description here
Parameters:
x (int) : TODO: add parameter x description here
Returns: TODO: add what function returns
SP2L RavaAcademy (poursamadi)Rava Academy - SP2L Strategy Assistant
This indicator is an assistive tool designed by Rava Academy to implement the SP2L trading strategy, which is a price action concept focused on identifying market exhaustion and potential reversals.
Core Concept:
The underlying logic of this script is to detect a specific price action pattern known as the "Spike and Two-Legged Pullback". The indicator identifies an initial strong price movement (the Spike) followed by a corrective phase with two distinct legs. The signals are generated near the completion of the second leg, which often represents a high-probability entry point as the initial momentum is expected to resume. This mechanical approach helps traders identify these complex patterns systematically.
Key Features:
Automatic Pattern Detection: The indicator automatically scans the chart for SP2L patterns.
Clear Visual Signals: It provides straightforward arrows to indicate potential setups.
Time-Saving Analysis: This tool minimizes the need for manual pattern identification.
Multi-Market Compatibility: Optimized for Forex and Cryptocurrencies.
How to Use:
Green Arrow (▲): Indicates a potential buy setup.
Red Arrow (▼): Indicates a potential sell setup.
Disclaimer:
This tool is for educational and analytical purposes only. Trading involves significant risk. All trading decisions are the sole responsibility of the user. Past performance is not indicative of future results.
🐼 Panda EMA-OBV Dual SignalPanda EMA-OBV Dual Signal
Description:
The Panda EMA-OBV Dual Signal combines exponential moving averages (EMAs) with On-Balance Volume (OBV) to identify both trend direction and momentum strength.
This script is designed for professional traders who want clear visual confirmations for reversals and trend continuations.
Main Features:
• Multi-layer EMA system (14 / 20 / 50 / 100 periods) for trend alignment
• OBV divergence detection (Bullish / Bearish)
• RSI confirmation filter for extra accuracy
• Auto signal arrows for buy/sell opportunities
• Works on all timeframes (H1 / H4 / D / W / MN)
How to use:
1️⃣ Look for Buy signal when OBV shows Bullish divergence and price closes above EMA 20.
2️⃣ Look for Sell signal when OBV shows Bearish divergence and price closes below EMA 20.
3️⃣ Use EMA crossovers as confirmation for trend continuation.
Tip:
The script is optimized for XAUUSD and BTCUSD but can also be applied to other assets for swing or intraday analysis.
Created by Millionbears | For educational and analytical purposes only.
Robust Scaled HMA | OquantOverview
The Robust Scaled HMA is an indicator designed to provide a more resilient trend-following signal by combining the Hull Moving Average (HMA) with a robust scaling mechanism based on interquartile range (IQR). Unlike traditional scaled indicators that rely on standard deviation, which can be skewed by outliers in volatile markets, this approach uses quartiles to normalize the HMA values, offering better resistance to extreme price movements. It generates long and short signals based on user-defined thresholds and includes built-in performance metrics to evaluate the indicator's historical behavior, alongside buy-and-hold comparisons(Remember past performance doesn’t guarantee future results). This allows traders to assess potential effectiveness without needing external backtesting tools(Remember past performance doesn’t guarantee future results). The indicator is particularly useful for those seeking a balance between responsiveness and robustness in trend detection, and it visualizes allocation states (LONG, SHORT, or CASH) through color-coded plots and optional tables.
Key Factors/Components
Robust Scaling: Employs IQR for normalization instead of standard deviation, reducing sensitivity to outliers and providing a more stable measure of deviation from the median HMA.
Signal Generation: Threshold-based triggers for long (above upper threshold) and short (below lower threshold) positions, with options to enable/disable longs or shorts to suit directional biases.
Performance Metrics: Calculates key risk-adjusted metrics such as Maximum Drawdown (Max DD), Intra-Trade Max DD, Sharpe Ratio, Sortino Ratio, Omega Ratio, Percent Profitable, Profit Factor, Total Trades, and Net Profit for the indicator's signals.
Buy-and-Hold Comparison: Displays equivalent metrics for a simple buy-and-hold approach on the same asset and timeframe for benchmarking.
Visualization Tools: Color-coded plot of the scaled HMA, threshold lines, optional equity curve, bar coloring, and customizable tables for metrics and allocation status.
Alert Conditions: Built-in alerts for bullish (crossover to long) and bearish (crossunder to short) signals.
How It Works
The indicator starts by computing a standard HMA on the selected source. It then applies robust scaling over a lookback period by subtracting the median HMA and dividing by the IQR (difference between the 75th and 25th percentiles), resulting in a normalized value that highlights deviations in a outlier-resistant manner. Signals are derived simply: values exceeding the upper threshold suggest upward momentum (long), while those below the lower threshold indicate downward momentum (short). The script simulates a basic equity curve by applying these signals to daily returns, holding long/short only when enabled, otherwise defaulting to cash (0% return). Metrics are computed on this equity curve using standard formulas—e.g., Sharpe as average return over standard deviation of returns (annualized), Sortino focusing on downside deviation, and Omega as the ratio of positive to negative returns. All calculations begin from the user-specified start date to ensure relevance to the tested period(Remember past performance doesn’t guarantee future results). This logic emphasizes robustness for real-world application.
For Who It Is Best/Recommended Use Cases
This indicator is best suited for traders focused on trend-following strategies in markets prone to volatility or outliers. Recommended use cases include:
Trend Identification: As a filter for entering/exiting positions.
Strategy Evaluation: Quickly assessing signal quality through integrated metrics without complex backtesting setups(Remember past performance doesn’t guarantee future results).
Customization: Adjusting for bullish biases by disabling shorts, or vice versa, in one-sided markets.
Settings and Default Settings
Start Date: Timestamp for when calculations begin (default: 1 Jan 2018).
Source: Price series for HMA calculation (default: close).
HMA Length: Period for the Hull Moving Average (default: 25).
Robust Scaling Length: Lookback for robust scaling calculations (default: 40).
Upper Threshold: Level above which long signals trigger (default: 0.6).
Lower Threshold: Level below which short signals trigger (default: -0.2).
Allow Long Trades: Enables long positions; if disabled, defaults to cash (default: true).
Allow Shorts: Enables short positions; if disabled, defaults to cash (default: false).
Show Indicator Metrics Table: Displays table with strategy metrics (default: true).
Show Buy&Hold Table: Displays table with asset benchmarks (default: true).
Plot Equity Curve: Shows the simulated equity line (default: false).
Defaults are tuned for general use.
Conclusion
The Robust Scaled HMA offers a fresh take on trend detection by prioritizing robustness through IQR scaling, making it a valuable addition for traders aiming to navigate noisy markets with metrics-backed insights(Remember past performance doesn’t guarantee future results).
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
SD Daily BTC (M1)EN
Description:
This indicator is based on an institutional model that calculates price zones representing cheap and expensive market areas using standard deviations. It helps visualize potential price extremes and better understand market structure.
Note:
The indicator is designed only for the M1 or lower timeframes.
It should be used solely as confirmation of existing trade ideas and never as a standalone decision-making tool.
Available at ko-fi.com
SD Daily FDAX (M1)EN
Description:
This indicator is based on an institutional model that calculates price zones representing cheap and expensive market areas using standard deviations. It helps visualize potential price extremes and better understand market structure.
Note:
The indicator is designed only for the M1 or lower timeframes.
It should be used solely as confirmation of existing trade ideas and never as a standalone decision-making tool.
Available at ko-fi.com
SD Daily NQ (M1)EN
Description:
This indicator is based on an institutional model that calculates price zones representing cheap and expensive market areas using standard deviations. It helps visualize potential price extremes and better understand market structure.
Note:
The indicator is designed only for the M1 or lower timeframes.
It should be used solely as confirmation of existing trade ideas and never as a standalone decision-making tool.
Available at ko-fi.com
SD Daily ES (M1)EN
Description:
This indicator is based on an institutional model that calculates price zones representing cheap and expensive market areas using standard deviations. It helps visualize potential price extremes and better understand market structure.
Note:
The indicator is designed only for the M1 or lower timeframes.
It should be used solely as confirmation of existing trade ideas and never as a standalone decision-making tool.
Available at ko-fi.com
SD Daily GC (M1)EN
Description:
This indicator is based on an institutional model that calculates price zones representing cheap and expensive market areas using standard deviations. It helps visualize potential price extremes and better understand market structure.
Note:
The indicator is designed only for the M1 or lower timeframes.
It should be used solely as confirmation of existing trade ideas and never as a standalone decision-making tool.
Available at ko-fi.com
SD Daily CL (M1)EN
Description:
This indicator is based on an institutional model that calculates price zones representing cheap and expensive market areas using standard deviations. It helps visualize potential price extremes and better understand market structure.
Note:
The indicator is designed only for the M1 or lower timeframes.
It should be used solely as confirmation of existing trade ideas and never as a standalone decision-making tool.
Available at ko-fi.com
SD Daily SI (M1)EN
Description:
This indicator is based on an institutional model that calculates price zones representing cheap and expensive market areas using standard deviations. It helps visualize potential price extremes and better understand market structure.
Note:
The indicator is designed only for the M1 or lower timeframes.
It should be used solely as confirmation of existing trade ideas and never as a standalone decision-making tool.
Available at ko-fi.com
Manual Vertical Lines (ramlakshman das)This script is useful for traders who want to visually mark important past or upcoming events such as earnings announcements, market opens/closes, or economic dates directly on their price charts. Its manual input format offers maximal customization for each individual line without loops, making it straightforward to fine-tune each line’s parameters individually.
Key features include:
Manual control over up to multiple vertical lines.
Support for any date and time with precise timestamp inputs.
Customizable line colors.
Persistence of lines into the future.
Clear, user-friendly input naming for ease of use.
This indicator helps traders visually track crucial dates and prepare for events by highlighting them on their charts, improving decision-making and situational awareness during trading.
Merek Day Seperator
The indicator helps traders visualize daily sessions based on New York midnight, making it easier to track trading days and plan strategies around daily market opens/closes.
AMF PG Strategy Pro_v2.0AMF PG Strategy Pro _v2.0: We've taken the core strengths of the acclaimed AMF PG Strategy Pro and upgraded it with three new features professional traders demand: Dynamic Trailing Stop that maximizes profits, Multi-Timeframe Confirmation that improves signal accuracy, and intelligent Kelly Criterion Position Sizing that optimizes capital growth. Introducing v2.0: Smarter, safer, and more profitable.
Are you ready to go beyond standard indicators and rigid algorithms? AMF PG Strategy Pro _v2.0 isn't just an upgrade; it's a complete evolution. It's an advanced, closed-loop trading engine designed for savvy traders who demand more than just signals; they demand an intelligent partner in the markets.
While our free strategy offers a glimpse into adaptive trading, the Pro version unleashes the full power of our proprietary engine, designed to navigate the complexities of today's markets with a level of intelligence never before achieved.
The Heart of the System: The Praetorian Guard (PG) Core
At the heart of the Pro version is the refined Praetorian Guard (PG) Core. Its mission is surgical: to examine market movements, eliminate deceptive noise, and isolate genuine, high-conviction moments of opportunity. It's designed to remain neutral in chaotic and low-probability conditions, only activating when the odds are strategically in your favor.
What Makes the Pro Engine Superior?
This is where the Pro version surpasses everything else. It operates on a framework of proprietary concepts designed to think, adapt, and protect.
🧠 Cognitive Reflex Engine™: This is our most significant breakthrough. The Pro engine is market-aware and continuously evaluates its own operational effectiveness in the live environment. During periods of high uncertainty or underperformance, it instinctively shifts to a more defensive stance to preserve capital—a self-protective feature rarely seen outside of enterprise-level systems.
🛡️ Intelligent Position Sizing™: The engine understands that not all opportunities are equal. Instead of applying a static risk model, it assesses the fundamental quality of each potential trade. In high-probability scenarios, it knows when to be assertive and when to be cautious, allocating your capital with calculated precision.
🤖 Full Automation Protocol™: The Pro version is designed from the ground up for uninterrupted 24/7 trading. With a fully configurable JSON alert structure, it seamlessly integrates with leading automation platforms (3Commas, PineConnector, etc.). Execute your strategy with the cold, calculated discipline of a machine.
📈 Momentum Compounding™: A profitable trade doesn't always mean the move is over. The Pro engine is designed to identify high-potential continuation scenarios. When a strong trend continues, it can intelligently seek re-engagement opportunities by compounding gains from a single, strong market move.
📉 Capital Shield™: Protection is your top priority. The integrated Maximum Drawdown feature acts as the ultimate safety net. When a predetermined risk threshold is reached, the system acts as a circuit breaker, protecting your capital from unforeseen market events.
Our Promise to You: WHAT This Engine IS and WHAT IT IS NOT?
✔️ WHAT IT IS:
A powerful tool designed to provide discipline and a systematic advantage.
A methodology for identifying high-probability opportunities based on a proprietary, confidential model.
A robust framework for intelligent risk and capital management.
A turnkey solution for professional-level trading automation.
❌ WHAT IT IS:
A "get rich quick" scheme or a guaranteed Holy Grail.
A promise of zero-loss trading. All trading involves risk.
Financial advice. An advanced tool for your responsible use.
Legal Disclaimer and Risk Warning
Past performance is not indicative of future results. Trading involves significant risks and the potential for total loss of capital. This strategy is provided as an analytical tool and should not be construed as financial advice. All trading decisions made using this tool are your sole responsibility. The developer is not responsible for any profits or losses resulting from its use. Please trade responsibly.
Intellectual Property and Terms of Use
© 2025 . All Rights Reserved.
The "AMF PG Strategy Pro _v2.0" script is the exclusive intellectual property of . Access to this script is licensed for personal and individual use only. Any unauthorized resale, distribution, reproduction or commercial use of the script, its signals or underlying logic is strictly prohibited and will result in legal action.
Note:
Power of 369 [SmartFoxy]The Power of 369 Indicator detects market swing structures and overlays dynamic time-based color labeling using the 3-6-9 numeric pattern.
It highlights price turning points with summed time signatures, aligning intraday structure with temporal symmetry.
Includes OTT session filtering, automatic box plotting, ATR-based validation, and custom color control for 3, 6, 9 digit resonance.
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## 📘 How to Use
Activate the Indicator
1. Add Magic 369 to your chart.
It works on any timeframe and market — Forex, Crypto, Indices, or Stocks.
2. Adjust the Session Duration to divide the chart into visual time blocks.
3. Use the OTT filter to show activity only during your preferred trading session.
4. Enable “Show sum of times” to display the digit sum of each candle’s time (e.g., m+m or h+h+m+m).
Combine this with “Show Swing Labels” or Market Structures to visualize both time and structure interaction.
5. Turn on “Set new colors 369” in the settings.
Each label changes its color based on the time-sum value:
3 → Orange — Accumulation;
6 → Blue — Manipulation;
9 → Purple — Distribution;
Other digits → Neutral gray.
6. Market Structure Tools:
Detects Swing Highs/Lows automatically;
Marks BoS (Break of Structure) and CHoCH (Change of Character);
Optionally validates swings using ATR deviation for confirmation.
7. Customize Visuals – Adjust label size, line style, colors, and opacity to match your chart theme.
8. Interpretation – Use the 3-6-9 patterns to identify time-based energy shifts in market flow —
3 initiates accumulation, 6 signals manipulation, and 9 completes distribution. Together, they reveal the rhythm behind structural price movements.
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## ⚙️ Settings Overview
🕓 Session Settings:
Show Boxes Session – enables time-block boxes on chart.
Session Duration – defines how many bars each session lasts.
Show only at OTT – displays sessions only during your chosen trading hours (e.g., 16:30–22:00).
Boxes Drawing Limit – limits the maximum number of boxes drawn on the chart.
🔢 3-6-9 Color Logic
Set new colors 369 – activates unique colors based on the time-sum digit.
/3, /6, /9, /others – customize colors for each digit group:
3 → Accumulation;
6 → Manipulation;
9 → Distribution;
others → Neutral.
🧭 Labels
Show Swings Labels – toggles display of H/L, HH/HL/LL/LH, or symbol ◆.
Show sum of times – displays digit-sum values next to swing labels.
Type of Sum – choose between:
m+m → uses minute sum only
h+h+m+m → uses hour + minute sum combined
Label Size – adjusts label text size.
📈 Market Structure (𝓜𝓢)
Show Market Structures – enables structure detection and visualization.
Show 𝓜𝓢 Validation (ATR) – confirms structure strength using ATR-based deviation logic.
Show 𝓜𝓢 Labels – shows BoS and CHoCH labels directly on the chart.
Show Levels – draws support/resistance levels from recent structures.
Colors – separate settings for bullish and bearish structures.
Advanced Swing Points Liquidity by BTTAdvanced Swing Points Liquidity Indicator by BTT
Identify key price reversals and liquidity zones with precision using the Advanced Swing Points Liquidity indicator. This tool automatically detects swing highs (Buy Side Liquidity) and swing lows (Sell Side Liquidity) based on customizable pivot logic, and visualizes these levels on your chart for enhanced trading decisions.
Core Features:
Swing Logic Choice: Instantly switch between classic 3-point (tight pivots) and broader 5-point (stronger swings) swing detection.
Visual Clarity: Each swing point is highlighted with your choice of colored labels and extended horizontal lines.
Custom Line Length: Define how far each liquidity line extends, making it easy to spot critical reversal and breakout zones across the chart.
Liquidity Zones: (Optional) Shaded boxes overlay the chart at swing highs/lows, helping you visualize supply and demand areas and optimize entries/exits.
Distinctive Labels: BSL (Buy Side Liquidity) at swing highs, SSL (Sell Side Liquidity) at swing lows, making institutional liquidity levels immediately visible.
How to Use:
Use swing labels and lines to spot potential price reaction zones, stop hunt areas, and trend reversals.
Combine with your price action, order blocks, or other SMC tools for confirmation and trade planning.
Adjust parameters for any market (indices, stocks, crypto, commodities), any timeframe.
Perfect For:
Smart money traders locating liquidity grabs and stop hunts
Supply & demand, market structure, and swing traders
Anyone wanting automated mapping and visual clarity for swing pivots and institutional levels
Customization:
Choose swing detection style (pivot window)
Toggle lines, labels, and liquidity boxes on/off
Set color, box height, and line length for maximum visual control
Pin Bar EMA34 - Full (Labels High/Low + Custom)update label close price and coditional of signal pin bar.
FintechFull — Next Candle Probability (EB, EWMA, Regime)Purpose
Developed by FintechFull as a quantitative assistant for day traders.
This indicator estimates the probability that the next candle will close green or red, using recent R/G color patterns of depth N = 1..7.
When a trader knows which side has higher probability, it becomes a powerful edge for trading in the direction of the dominant trend.
Methodology
- Strict no-lookahead counting (no repaint, doji removed)
- Hierarchical Empirical Bayes (EB) smoothing across depths (1→7)
- Optional exponential decay (EWMA) for time-adaptive weighting
- Higher-timeframe EMA regime filter (UP-only / DOWN-only / OFF)
- ALL / SELECTED scopes with single-decision voting (one clean signal per bar)
- On-chart tags (“R” = RAW freq, “E” = EB) and full alert system
How it helps day traders
You can see whether the next bar’s probability favors the bullish or bearish side — then trade in alignment with trend and probability, not emotion.
Learn More
📘 The full research article explaining the math, logic, and Pine implementation,
and the Next-Candle Prediction Bot, are both available on the FintechFull Telegram channel.
→ Just search “@FintechFull” on Telegram to read the full paper and try the bot.
Trend Profit Tracking——JackFinanceTrend Profit Tracking Indicator Usage Guide1. Chart Interpretation and UsageSignals: Green "Buy" (below bar) for long entry; red "Sell" (above bar) for short entry or close long. Based on ATR stop reversal.
Trend Line: Green = bullish (support); red = bearish (resistance); gray = neutral.
Background: Light green/red = trend environment.
Filter Band: Green fill confirms bullish; red confirms bearish. Signals more accurate when price is inside the band.
Volume: Yellow bars = unusual volume spike; combine with signals for reversal hints.
Table (top-right): Bullish; Bearish; Neutral.
2. Trading ApplicationEntry: Signal + matching filter band color (green for long, red for short).
Exit: Reverse signal or price hits trend line/band edge.
Stop-Loss: Use built-in trailing stop; ATR multiplier for position sizing.
Best For: Daily/4H trend charts; avoid choppy markets.
Backtest: Verify in strategy tester (~55-65% win rate with defaults).
3. TipsCombine with RSI for filters.
Trading involves risk; decide at your own discretion.
Portfolio Strategy TesterThe Portfolio Strategy Tester is an institutional-grade backtesting framework that evaluates the performance of trend-following strategies on multi-asset portfolios. It enables users to construct custom portfolios of up to 30 assets and apply moving average crossover strategies across individual holdings. The model features a clear, color-coded table that provides a side-by-side comparison between the buy-and-hold portfolio and the portfolio using the risk management strategy, offering a comprehensive assessment of both approaches relative to the benchmark.
Portfolios are constructed by entering each ticker symbol in the menu, assigning its respective weight, and reviewing the total sum of individual weights displayed at the top left of the table. For strategy selection, users can choose between Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), Weighted Moving Average (WMA), Moving Average Convergence Divergence (MACD), and Volume-Weighted Moving Average (VWMA). Moving average lengths are defined in the menu and apply only to strategy-enabled assets.
To accurately replicate real-world portfolio conditions, users can choose between daily, weekly, monthly, or quarterly rebalancing frequencies and decide whether cash is held or redistributed. Daily rebalancing maintains constant portfolio weights, while longer intervals allow natural drift. When cash positions are not allowed, capital from bearish assets is automatically redistributed proportionally among bullish assets, ensuring the portfolio remains fully invested at all times. The table displays a comprehensive set of widely used institutional-grade performance metrics:
CAGR = Compounded annual growth rate of returns.
Volatility = Annualized standard deviation of returns.
Sharpe = CAGR per unit of annualized standard deviation.
Sortino = CAGR per unit of annualized downside deviation.
Calmar = CAGR relative to maximum drawdown.
Max DD = Largest peak-to-trough decline in value.
Beta (β) = Sensitivity of returns relative to benchmark returns.
Alpha (α) = Excess annualized risk-adjusted returns relative to benchmark.
Upside = Ratio of average return to benchmark return on up days.
Downside = Ratio of average return to benchmark return on down days.
Tracking = Annualized standard deviation of returns versus benchmark.
Turnover = Average sum of absolute changes in weights per year.
Cumulative returns are displayed on each label as the total percentage gain from the selected start date, with green indicating positive returns and red indicating negative returns. In the table, baseline metrics serve as the benchmark reference and are always gray. For portfolio metrics, green indicates outperformance relative to the baseline, while red indicates underperformance relative to the baseline. For strategy metrics, green indicates outperformance relative to both the baseline and the portfolio, red indicates underperformance relative to both, and gray indicates underperformance relative to either the baseline or portfolio. Metrics such as Volatility, Tracking Error, and Turnover ratio are always displayed in gray as they serve as descriptive measures.
In summary, the Portfolio Strategy Tester is a comprehensive backtesting tool designed to help investors evaluate different trend-following strategies on custom portfolios. It enables real-world simulation of both active and passive investment approaches and provides a full set of standard institutional-grade performance metrics to support data-driven comparisons. While results are based on historical performance, the model serves as a powerful portfolio management and research framework for developing, validating, and refining systematic investment strategies.
