MNQ Optimal Entry Detector - Timeframe StableOptimized for timeframes and has better trade stability, overall better option however use with discretion, dont trade until 3 hours after market opens and dont use 4 hours before close due to lack of volume.
Индикаторы и стратегии
RSI For Loop | PWRSI For Loop – True Dominance Oscillator
RSI For Loop – True Momentum Dominance Through Historical Comparison
The Relative Strength Index (RSI) is excellent at measuring recent price change intensity, but a reading of 70 or 30 has completely different implications depending on the market regime. RSI For Loop removes this ambiguity by transforming RSI into a clean, zero-centered dominance / percentile-rank oscillator that always tells you exactly how strong or weak the current momentum is compared to recent history.
How it works
- Standard RSI is calculated normally (default length 46).
- A simple for-loop compares the current RSI value against the actual RSI value of every previous bar inside the user-defined lookback window (default 1 to 99 bars ≈ one full quarter on daily charts).
- Current RSI higher → +1 point
- Current RSI lower → –1 point
The resulting score ranges from –99 to +99 and is naturally centered around zero:
1. +40 = current momentum beats ~70 % of the last 99 bars (approximation)
2. –60 = current momentum is weaker than ~80 % of the last 99 bars (approximation)
3. Near zero = balanced or ranging market
Additional statistical layers
- A very long rolling median of the score (default 240 periods) serves as a slow, robust dynamic centerline
- Upper and lower 3σ bands are calculated from the standard deviation of the underlying RSI median (default length 60) to highlight truly rare extreme-dominance phases
- Asymmetric trend thresholds (default Long +15 / Short –28) reflect the empirical observation that downside momentum is usually sharper and faster
Origin and development
The core idea of using a for-loop on RSI was originally introduced by @viResearch in his invite-only “RSI For Loop” script.
While studying that concept I realised I needed an even more regime-robust strength gauge that looks back far enough to capture full market cycles (2–4 months). Therefore I completely rewrote the loop to compare against actual historical RSI values instead of fixed levels, added a 240-period median centerline, 3σ extreme bands, asymmetric thresholds, and visual signals. All parameters were extensively tested across dozens of major assets (BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL + 20+ more cryptos; Magnificent 7 stocks, QQQ, SPX, XAUUSD) with the goal of achieving consistent profitability, high Sortino ratio and low drawdown in simple trend-following setups.
The final defaults represent the most robust compromise found — they keep you in real trends for dozens or hundreds of bars while staying almost silent in choppy, ranging markets.
Important Note
The optimization process is tailored to MY needs and have to be adjusted to you prefered timeframe!
I was mainly looking for an indicator that shows the underlying strength of an asset, the trend componant was only a bonus in my eyes.
How to use it
1. Green triangle below bar → score crosses above +15 → new bullish regime confirmed → enter or add to longs
2. Magenta triangle above bar → score crosses below –28 → exit longs or go cash/short
While score stays clearly positive → bullish bias hold
3. Score touching or breaking the 3σ bands → extreme conviction zone (add to winners or prepare for exhaustion)
Strength
Recommended defaults (My preference)
RSI length 46
Loop range 1–99
Long threshold +15
Short threshold –28
Median length 240
SD length 60
Recommended Universal Settings (Tested for low Max-Drawdown, high Sortino)
RSI length 44
Loop range 1–60
Long threshold +14
Short threshold –10
Median length 180
SD length 28
Works on every asset class, but the current settings are tuned for major liquid markets.
Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
10>20,p>50 DEMARenders daily EMA, 10, 20 and 50 on any timeframe below 1D
30m timeframe works well.
Use trend of 10 > 20 + price > 50 for long and 10 < 20 + price < 50 for shorts or exits.
MNQ Optimal Entry Detector Use 2 minute time frame, no range entry signals as they are lower probability, use discretion and understand bias. This is still in testing so do not use it as financial advice.
Enhanced Swing Trading Confluence [Hidden Div Bonus + Dashboard]powerful swing trading indicator combining multiple confluence factors for high-probability setups.
This indicator identifies premium long and short opportunities by requiring alignment across:
• Trend direction (price above/below 200 EMA + optional 50/100/200 EMA stacking)
• RSI oversold/overbought conditions (with optional strict crossover requirement)
• MACD line/signal crossover
• Price touching Bollinger Band extremes
• Optional Bollinger Band squeeze (low volatility contraction)
• Optional volume spike confirmation
Features:
• Clean entry arrows for ready signals
• Real-time confluence dashboard showing which conditions are met
• Accurate regular RSI divergence detection (reversal signals)
• Hidden RSI divergence detection (trend continuation signals)
• Optional use of recent hidden divergence as a bonus confirmation filter
• Customizable inputs and alerts
Ideal for swing traders seeking multi-factor confirmation before entries. Works across all markets and timeframes. Alerts fire only when full confluence is achieved for disciplined, high-quality trade setups.
Buying Opportunity Score V2.1Overview
A composite scoring system (0-100) that identifies high-probability buying opportunities during market pullbacks. Validated through backtesting on SPY from 2010-2024.
How It Works
The indicator combines multiple fear and oversold signals into a single actionable score. When fear is elevated and the market is oversold, the score rises. Higher scores historically correlate with better forward returns.
Scoring Components
VIX Level (30 pts) - Market fear gauge
Drawdown (30 pts) - Distance from 52-week high
RSI 14 (12 pts) - Oversold confirmation
Bollinger Band (13 pts) - Statistical extreme
VIX Timing (15 pts) - Bonus when VIX declining from peak
Signal Levels
80+ = STRONG BUY (high conviction)
70-79 = BUY (consider entry)
60-69 = WATCH (monitor closely)
Below 60 = No signal
Backtest Results (SPY, 2010-2024)
70+ Signals: 85% win rate, 7.5% average 20-day return
80+ Signals: 100% win rate, 14% average 20-day return
Features
Statistics table showing 1Y, 3Y, 5Y rolling performance
Signal markers (green triangles) on buy signals
Outcome labels showing WIN/LOSS after measurement period
Multiple alert options
Works on SPY, QQQ, IWM (use VIX for all)
How To Use
Add to SPY, QQQ, or IWM (daily timeframe)
Wait for score to reach 70+ or 80+
Green triangle marks signal day
Check statistics table for recent performance
Set alerts for notifications
Alerts Available
STRONG BUY Signal (80+)
BUY Signal (70+)
Moderate Signal (60+)
Score Crossed 80/70
Score Dropped Below 70
Important Notes
Designed for daily timeframe on broad market ETFs
Signals confirm at end of day (bar close)
Statistics table shows rolling windows based on loaded data
Past performance does not guarantee future results
Test此指標為測試階段
最近手法改變,高點出現率後移,
此指標為爆量後跌破12ema才放空,
由於操盤手還是可以騙線,故時間設定為10:00之後成功率比較大
This indicator is in the testing phase.
Recently, the method has changed, and the occurrence rate of high points has shifted later.
This indicator only calls for shorting after a surge in volume followed by a drop below the 12-day moving average (EMA).
Because traders can still create false signals, setting the time after 10:00 AM increases the success rate.
Liquidity Sell Signal V2 [StrategyLAB_]Liquidity Sell Signal V2
Liquidity Sell Signal V2 is a TradingView indicator designed to help you spot high-probability Sell setups (reversal / pullback entries) using liquidity concepts around Buy-Side Liquidity (BSL) , combined with a bearish confirmation candle pattern.
OANDA:XAUUSD
This script will:
Automatically detect and plot BSL (Swing High) levels based on your selected Swing Strength.
Visually “fade” levels once price has broken above them.
Print a down triangle when a valid Bearish Liquidity Triangle forms at a qualified BSL area.
How it works
1) Identify Buy-Side Liquidity (BSL)
The indicator detects pivot highs using Swing Strength.
Each pivot high is drawn as a horizontal BSL level, keeping up to Max Buy Side Liquidity (BSL) Levels.
2) Bearish confirmation (Liquidity reaction)
A Sell signal triggers only when a bearish candle structure appears, suggesting strong selling pressure and a potential reversal after a liquidity sweep near/above BSL.
3) Noise filter (Avoid “body-cut” levels)
The script checks whether the BSL level has been repeatedly cut through candle bodies in prior bars.
If the level is considered “dirty” based on olderBodyLookback, it is filtered out to reduce false signals.
How to use
Suggested settings
Swing Strength
Lower (5–8): more levels, faster signals, but more noise.
Higher (12–20): fewer levels, cleaner zones, better for swing.
Max BSL Levels: increase if you want to keep more historical liquidity levels.
Filter lookback older bodies: increase to filter more aggressively (fewer signals, cleaner quality).
Entry idea (example)
Wait for a Sell triangle to appear (signal prints on candle close).
Prefer signals that align with:
a major swing high / key resistance,
clear rejection (wick / bearish reaction),
confluence with HTF supply, trendline, session, etc.
SL/TP idea (example)
SL: above the most recent swing high / above the BSL zone with a safety buffer.
TP: toward imbalance fill, previous lows (SSL), or a fixed RR such as 1:2 / 1:3.
Important notes
This is a probability tool, not a guaranteed signal.
Best results come from combining with market structure (BOS/CHOCH), supply/demand, HTF levels, and session context.
The script uses barstate.isconfirmed, so signals appear only after the candle closes (non-repainting signals).
OANDA:EURUSD
XAUUSD High Probabilities TradesIdentifies entries with small stop loss in gold.
Works best in 15 mins TF
Use this with Orderblocks and Fair Value Gaps
GS Tactical Overlay (SMC + Squeeze)designed to sit atop the 6 pillar commander. it will tell you signs for puts and calls
RSI Distribution [Kodexius]RSI Distribution is a statistics driven visualization companion for the classic RSI oscillator. In addition to plotting RSI itself, it continuously builds a rolling sample of recent RSI values and projects their distribution as a forward drawn histogram, so you can see where RSI has spent most of its time over the selected lookback window.
The indicator is designed to add context to oscillator readings. Instead of only treating RSI as a single point estimate that is either “high” or “low”, you can evaluate the current RSI level relative to its own recent history. This makes it easier to recognize when the market is operating inside a familiar regime, and when RSI is pushing into rarer tail conditions that tend to appear during momentum bursts, exhaustion, or volatility expansion.
To complement the histogram, the script can optionally overlay a Gaussian curve fitted to the sample mean and standard deviation. It also runs a Jarque Bera normality check, based on skewness and excess kurtosis, and surfaces the result both visually and in a compact dashboard. On the oscillator panel itself, RSI is presented with a clean gradient line and standard overbought and oversold references, with fills that become more visible when RSI meaningfully extends beyond key thresholds.
🔹 Features
1. Distribution Histogram of Recent RSI Values
The script stores the last N RSI values in an internal sample and uses that rolling window to compute a frequency distribution across a user selected number of bins. The histogram is drawn into the future by a configurable width in bars, which keeps it readable and prevents it from colliding with the active RSI plot. The result is a compact visual summary of where RSI clusters most often, whether it is spending more time near the center, or shifting toward higher or lower regimes.
2. Gaussian Overlay for Shape Intuition
If enabled, a fitted bell curve is drawn on top of the histogram using the sample mean and standard deviation. This overlay is not intended as a direct trading signal. Its purpose is to provide a fast visual comparator between the empirical RSI distribution and a theoretical normal shape. When the histogram diverges strongly from the curve, you can quickly spot skew, heavy tails, or regime changes that often occur when market structure or volatility conditions shift.
3. Jarque Bera Normality Check With Clear PASS/FAIL Feedback
The script computes skewness and excess kurtosis from the RSI sample, then forms the Jarque Bera statistic and compares it to a fixed 95% critical value. When the distribution is closer to normal under this test, the status is marked as PASS, otherwise it is marked as FAIL. This result is displayed in the dashboard and can also influence the histogram styling, giving immediate feedback about whether the recent RSI behavior resembles a bell shaped distribution or a more distorted, regime driven profile.
Jarque Bera is a goodness of fit test that evaluates whether a dataset looks consistent with a normal distribution by checking two shape properties: skewness (asymmetry) and kurtosis (tail heaviness, expressed here as excess kurtosis where a perfect normal has 0). Under the null hypothesis of normality, skewness should be near 0 and excess kurtosis should be near 0. The test combines deviations in both into a single statistic, which is then compared to a chi square threshold. A PASS in this script means the sample does not show strong evidence against normality at the chosen threshold, while a FAIL means the sample is meaningfully skewed, heavy tailed, or both. In practical trading terms, a FAIL often suggests RSI is behaving in a regime where extremes and asymmetry are more common, which is typical during strong trends, volatility expansions, or one sided market pressure. It is still a statistical diagnostic, not a prediction tool, and results can vary with lookback length and market conditions.
4. Integrated Stats Dashboard
A compact table in the top right summarizes key distribution moments and the normality result: Mean, StdDev, Skewness, Kurtosis, and the JB statistic with PASS/FAIL text. Skewness is color coded by sign to quickly distinguish right skew (more time at higher RSI) versus left skew (more time at lower RSI), which can be helpful when diagnosing trend bias and momentum persistence.
5. RSI Visual Quality and Context Zones
RSI is plotted with a gradient color scheme and standard overbought and oversold reference lines. The overbought and oversold areas are filled with a smart gradient so visual emphasis increases when RSI meaningfully extends beyond the 70 and 30 regions, improving readability without overwhelming the panel.
🔹 Calculations
This section summarizes the main calculations and transformations used internally.
1. RSI Series
RSI is computed from the selected source and length using the standard RSI function:
rsi_val = ta.rsi(rsi_src, rsi_len)
2. Rolling Sample Collection
A float array stores recent RSI values. Each bar appends the newest RSI, and if the array exceeds the configured lookback, the oldest value is removed. Conceptually:
rsi_history.push(rsi_val)
if rsi_history.size() > lookback
rsi_history.shift()
This maintains a fixed size window that represents the most recent RSI behavior.
3. Mean, Variance, and Standard Deviation
The script computes the sample mean across the array. Variance is computed as sample variance using (n - 1) in the denominator, and standard deviation is the square root of that variance. These values serve both the dashboard display and the Gaussian overlay parameters.
4. Skewness and Excess Kurtosis
Skewness is calculated from the standardized third central moment with a small sample correction. Kurtosis is computed as excess kurtosis (kurtosis minus 3), so the normal baseline is 0. These two metrics summarize asymmetry and tail heaviness, which are the core ingredients for the Jarque Bera statistic.
5. Jarque Bera Statistic and Decision Rule
Using skewness S and excess kurtosis K, the Jarque Bera statistic is computed as:
JB = (n / 6.0) * (S^2 + 0.25 * K^2)
Normality is flagged using a fixed critical value:
is_normal = JB < 5.991
This produces a simple PASS/FAIL classification suitable for fast chart interpretation.
6. Histogram Binning and Scaling
The RSI domain is treated as 0 to 100 and divided into a configurable number of bins. Bin size is:
bin_size = 100.0 / bins
Each RSI sample maps to a bin index via floor(rsi / bin_size), with clamping to ensure the index stays within valid bounds. The script counts occurrences per bin, tracks the maximum frequency, and normalizes each bar height by freq/max_freq so the histogram remains visually stable and comparable as the window updates.
7. Gaussian Curve Overlay (Optional)
The Gaussian overlay uses the normal probability density function with mu as the sample mean and sigma as the sample standard deviation:
normal_pdf(x) = (1 / (sigma * sqrt(2*pi))) * exp(-0.5 * ((x - mu)/sigma)^2)
For drawing, the script samples x across the histogram width, evaluates the PDF, and normalizes it relative to its peak so the curve fits within the same visual height scale as the histogram.
Gold Smart Scalper AI V21. The "Red Zone" (News Management)
The strategy logic does not "know" when the Federal Reserve is speaking.
Rule: Disable the strategy or stop taking signals 15 minutes before and after high-impact news (CPI, NFP, FOMC).
Why: During these times, Gold can move $30 in seconds. Slippage will cause your $1.50 Stop Loss to execute much further away, leading to massive drawdown.
2. Session Selection
Gold "Scalping" requires high liquidity and tight spreads.
Discretionary Filter: Only trade during the London/New York overlap (13:00 – 17:00 UTC).
Avoid: The late Asian session or Sunday market open. Spreads often widen to $0.50–$1.00, meaning you are already down 30-50% of your Stop Loss the moment you enter.
3. Market "Mood" (Trend vs. Range)
Trend Context: If the 50 EMA (the White line) is completely flat, the market is in a "Bracket." In this state, EMA crossovers generate many false signals.
The Adjustment: Discretionary traders wait for the 50 EMA to show a clear slope (up or down) before trusting the 9/21 crossover signals.
Auto-Anchored Fibonacci Volume Profile [Custom Array Engine]Description:
1. The Theoretical Foundation: Structure vs. Participation In professional technical analysis, traders often struggle to reconcile two distinct datasets: Price Geometry (where price should go) and Market Participation (where money actually went).
Why Fibonacci? (The Structure) Fibonacci Retracements map the mathematical structure of a trend. They identify psychological and algorithmic "interest zones" (0.382, 0.5, 0.618) where a correction is statistically likely to terminate. However, Fibonacci levels are theoretical—they are "lines in the sand" that do not guarantee liquidity or reaction.
Why Volume Profile? (The Verification) Volume Profile maps the historical exchange of shares at specific price levels. It reveals "fair value" (High Volume Nodes) and "market imbalance" (Low Volume Nodes). It is the only tool that verifies if a specific price level was actually accepted by institutional participants.
2. Underlying Calculations (The Custom Engine) This script operates on a custom-built calculation engine that bypasses standard built-in functions entirely. It uses Pine Script Arrays to build a Volume Profile from scratch. Here is the breakdown of the proprietary code logic:
A. The "Smart-Fill" Distribution Algorithm (Solves Gapping)
The Problem: Standard volume scripts often assign a candle's entire volume to a single price row. In volatile markets or steep trends, this creates visual "gaps" or a "barcode" effect because price moved too fast to register on every row.
My Solution: I wrote a custom loop that calculates the vertical overlap of every candle against the profile grid.
The Math: Volume Per Bin = Total Candle Volume / Bins Touched.
The Result: If a single volatile candle spans 10 price rows (bins), the script mathematically divides that volume and distributes it equally into all 10 array indices. This generates a solid, continuous distribution curve that accurately reflects price action through the entire candle range, not just the close.
B. Dynamic Arrays & Split-Volume Logic The script initializes two separate floating-point arrays (buyVolArray and sellVolArray) sized to the user's resolution (up to 300 rows). It iterates through the specific time-window of the swing:
If Close >= Open, the calculated volume slice is injected into the Buy Array.
If Close < Open, it is injected into the Sell Array.
These arrays are then visually stacked to render the dual-color profile, allowing traders to see the "Delta" (Buyer vs. Seller aggression) at key structural levels.
C. Custom Garbage Collection (Performance) To enable the "Auto-Anchoring" feature without causing chart lag or visual artifacts ("ghosting"), the script includes a Garbage Collection System. Before drawing a new profile, the script iterates through a tracking array of all existing objects (box.delete, line.delete) and clears them from memory. This ensures the indicator remains lightweight and responsive even when dragging chart margins or switching timeframes.
3. The Synthesis: Why Combine Them? The core philosophy of this script is Confluence . A Fibonacci level without volume is merely a suggestion; a Fibonacci level backed by volume is a defensive wall. By algorithmically anchoring a Volume Profile to the exact coordinates of a Fibonacci swing, this tool allows traders to instantly answer critical questions:
"Is the Golden Pocket (0.618) supported by a High Volume Node (HVN), or is it a Low Volume Node (LVN) that price might slice through?"
"Is the Shallow Retracement (0.382) holding because of structural support, or just a lack of selling pressure?"
4. How to Read the Indicator
The Geometry: The script automatically detects the trend and draws standard Fib levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0).
The Confluence Check: Look for the Point of Control (Red Line). If this High Volume Node aligns with a key Fib level (e.g., the 0.618), the probability of a reversal increases significantly.
The Imbalance Check: Look for "Valleys" in the profile (Low Volume Nodes). These gaps often act as "slippage zones" where price travels quickly between structural levels.
Buy/Sell Splits: The dual-color bars (Teal/Red) reveal the composition of the volume. A 0.618 level held up by dominant Buy Volume is a stronger bullish signal than one with mixed volume.
5. Settings & Customization
Lookback Length: Sensitivity of the swing detection (Default: 200 bars).
Resolution: Granularity of the profile rows (Default: 100). Higher values provide smoother definition.
Width (%): Responsive sizing that scales the profile relative to the trend's duration.
Extend Lines: Option to project structural levels infinitely to the right.
Disclaimer This script is an analytical tool for visualizing historical market data. It does not provide trade signals or financial advice.
SMC Academy [PhenLabs]📊 SMC Academy
Version: PineScript™ v6
📌 Description
The SMC Academy indicator is a comprehensive educational tool designed to demystify Smart Money Concepts (SMC) for traders of all levels. Unlike standard indicators that simply print signals, this script uses a “Learning Phase” system that allows users to toggle between individual concepts—such as Market Structure, Liquidity, Imbalances, and Order Blocks—or view them all simultaneously. It lets you focus on one piece of the puzzle at a time.
🚀 Points of Innovation
Progressive Learning Modes: Toggle between 5 distinct phases to master concepts individually before using the Full Strategy Mode.
Educational Tooltips: Hover over labels to read detailed explanations of why a BOS, MSS, or Liquidity zone was identified.
Smart Filtering: Uses ATR and Volume integration to filter out low-quality Fair Value Gaps and weak Order Blocks.
HTF Dashboard: A built-in panel analyzes Higher Timeframe (4H) data to ensure you are trading in alignment with the broader trend.
🔧 Core Components
Market Structure Engine: Automatically detects Swing Highs and Lows to map out market direction using configurable swing lengths.
Liquidity Manager: Identifies unmitigated swing points that serve as Buy-Side (BSL) and Sell-Side (SSL) liquidity magnets.
Imbalance Detector: Highlights Fair Value Gaps (FVG) where price inefficiencies exist, using ATR thresholds to ignore noise.
Order Block Identifier: Locates the specific candles responsible for structure breaks, validated by volume analysis.
🔥 Key Features
Break of Structure (BOS): Automatically marks trend continuation signals with solid lines and color-coded labels.
Market Structure Shift (MSS): Identifies potential trend reversals when significant swing points are breached.
Dashboard Context: Displays the current trend direction and the 4H context directly on your chart.
Custom Alerts: Built-in alert conditions for structure breaks and new Order Blocks allow for automated tracking.
🎨 Visualization
Structure Lines: Solid lines indicate confirmed breaks (Green for Bullish, Red for Bearish).
Liquidity Zones: Dotted lines extending rightward indicate resting liquidity levels that price may target.
FVG Boxes: Shaded boxes highlight imbalance zones, automatically extending for a user-defined number of bars.
Dashboard: A clean, non-intrusive table in the top-right corner displays trend status and active mode.
📖 Usage Guidelines
Setting Categories
Learning Mode: Select from ‘1. Market Structure’ through ‘5. Full Strategy Mode’ to filter what appears on the chart.
Swing Detection Length: Default (5). Determines the sensitivity of the swing high/low detection.
Structure Break Type: Options (Close/Wick). Choose whether a candle close or just a wick is required to confirm a break.
Min FVG Size: Default (0.5 ATR). Filters out gaps smaller than this multiplier to reduce noise.
Filter Weak OBs by Volume: Default (True). Only highlights Order Blocks where volume exceeds the 20-period average.
✅ Best Use Cases
Educational Study: Isolate “Phase 1: Market Structure” to practice identifying trend changes without distraction.
Trend Following: Use “Phase 3: Imbalances” to find entry points within an established trend.
Reversal Trading: Combine “Phase 2: Liquidity” and “Phase 4: Order Blocks” to catch reversals at key levels.
⚠️ Limitations
Subjectivity: Market structure can be interpreted differently depending on the swing length settings used.
Ranging Markets: Like all trend-following concepts, false BOS/MSS signals may generate during choppy, sideways price action.
Repainting: While the signals are non-repainting once confirmed, the live candle may flash a signal before the close if “Close” mode is selected.
💡 What Makes This Unique
Interactive Learning: The inclusion of tooltip explanations transforms this from a simple tool into an active mentor.
Phase-Based Workflow: The ability to strip the chart back to basics at the click of a button is unique to the PhenLabs ecosystem.
🔬 How It Works
Swing Analysis: The script calculates pivot highs and lows based on your length input to define the structural landscape.
Break Validation: It checks if price crosses these pivot points to trigger BOS (Continuation) or MSS (Reversal) logic.
Volume Confirmation: For Order Blocks, it looks back inside the swing leg to find the specific candle responsible for the move, verifying it has significant volume.
💡 Note:
For the best experience, start in Phase 1 to calibrate your Swing Detection Length to the specific volatility of the asset you are trading before enabling Full Strategy Mode.
QUANT TRADING ENGINE [PointAlgo]Quant Trading Engine is a quantitative market-analysis indicator that combines multiple statistical factors to study trend behavior, mean reversion, volatility, execution efficiency, and market stability.
The indicator converts raw price behavior into standardized signals to help evaluate directional bias and risk conditions in a systematic way.
This script focuses on factor alignment and regime awareness, not prediction certainty.
Design Philosophy
Markets move through different regimes such as trending, ranging, volatile expansion, and instability.
This indicator attempts to model these regimes by blending:
Momentum strength
Mean-reversion pressure
Volatility risk
Trend filtering
Execution context (VWAP)
Correlation structure
Each component is normalized and combined into a single Quant Alpha framework.
Factor Construction
1. Momentum Factor
Measures directional strength using percentage price change over a rolling window.
Standardized using mean and standard deviation.
Represents trend continuation pressure.
2. Mean Reversion Factor
Measures deviation from a longer moving average.
Standardized to identify stretched conditions.
Designed to capture counter-trend behavior.
Directional Clamping
Mean-reversion signals are dynamically restricted:
No counter-trend buying during downtrends.
No counter-trend selling during uptrends.
Allows both sides only in neutral regimes.
This prevents conflicting signals in strong trends.
3. Volatility Factor
Uses realized volatility derived from price changes.
Penalizes environments where volatility deviates significantly from its norm.
Acts as a risk adjustment rather than a directional driver.
4. Composite Quant Alpha
The final Quant Alpha is a weighted blend of:
Momentum
Mean reversion (trend-clamped)
Volatility risk
The composite is standardized into a Z-score, allowing consistent interpretation across instruments and timeframes.
Signal Logic
Buy signal occurs when Quant Alpha crosses above zero.
Sell signal occurs when Quant Alpha crosses below zero.
Zero-cross logic is used to represent shifts from negative to positive statistical bias and vice versa.
Signals reflect statistical regime change, not trade instructions.
Volatility Smile Context
Measures price deviation from its statistical distribution.
Identifies skewed conditions where upside or downside volatility becomes dominant.
Highlights extreme deviations that may imply elevated derivative risk.
Exotic Risk Conditions
Detects sudden price expansion combined with volatility spikes.
Highlights environments where execution and risk become unstable.
Visual background cues are used for awareness only.
Execution Context (VWAP)
Measures price distance from VWAP.
Used to assess execution efficiency rather than direction.
Helps identify stretched conditions relative to average traded price.
Correlation Structure
Evaluates short-term return correlations.
Detects when price behavior becomes less predictable.
Flags structural instability rather than trend direction.
Visualization
The indicator plots:
Quant Alpha (scaled) with directional coloring
Volatility smile deviation
Price vs VWAP distance
Correlation structure
Signal markers indicate Quant Alpha zero-cross events and risk conditions.
Dashboard
A compact dashboard summarizes:
Trend filter state
Quant Alpha polarity and value
Individual factor readings
Current action state (Buy / Sell / Wait / Risk)
The dashboard provides a real-time snapshot of internal model conditions.
Usage Notes
Designed for analytical interpretation and research.
Best used alongside price action and risk management tools.
Factor behavior depends on instrument liquidity and volatility.
Not optimized for illiquid or irregular markets.
Disclaimer
This script is provided for educational and analytical purposes only.
It does not provide financial, investment, or trading advice.
All outputs should be independently validated before making any trading decisions.
Impulse Trend Suite (LITE) v4🚀 Impulse Trend Suite (LITE) — v4
Smart trend visualization with precise flip arrows. A lightweight, momentum-filtered trend tool designed to stay clean, avoid repeated signals, and keep you focused only on real market direction.
📌 Core Features
Trend flip arrows (no spam, 1 signal per turn)
Continuous background zones (gap-free trend shading)
Adaptive Baseline + ATR structure channel
RSI + MACD momentum filter (suppresses weak signals)
Trend Status Panel (UP, DOWN, NEUTRAL)
🔍 Quick Guide
BUY setup = green arrow + green background
SELL setup = red arrow + red background
Stay in the move while color doesn’t change
ATR channel helps avoid chasing overextended candles
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📈 Works on Forex, Stocks, Crypto, Indices, Metals
⌚ Scalping • Intraday • Swing • Long-term
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⚠️ Backtest before trading live.
Happy trading and many pips!
Triple Supertrend + EMA CrossoverCustomized 3 supertrend and EMA crossover which is helpful for identification of the trend.
Dragon Flow Arrows (LITE)🚀 DRAGON FLOW ARROWS — LITE | Smart Trend Engine + Clean Reversal Arrows
A lightweight but highly-optimized trend system designed for clean charts, powerful visual signals, and no-noise directional flow.
Built for traders who want simplicity, clarity, and professional-level momentum-filtered signals without over-complication.
🔥 Dragon Channel (Clean 3-Line Ribbon)
A smooth adaptive channel formed from ATR + EMA, giving you structural trend zones without clutter.
✅ Dragon Flow Gradient
A horizontal, color-shifted flow:
🟢 Bull flow → green glow
🔴 Bear flow → red glow
Automatic blend based on trend direction
Smooth visual transitions (no vertical stripes)
✅ Momentum-Filtered Arrows (No Spam)
BUY/SELL arrows only print when:
Price breaks outside the Dragon Channel
Momentum confirms (RSI + MACD filters)
Trend flips → one clean arrow per direction
Text labels sit outside the channel for better readability.
✅ Smart Header Panel
At the top of your chart:
📌 Trend: Uptrend / Downtrend / Neutral
⚡ Impulse Strength: Weak / Normal / Strong
📊 How to Use
Entry:
BUY Setup
Price moving above baseline
Dragon Flow turns bullish (cyan side)
Arrow appears below channel
SELL Setup
Price breaks below baseline
Dragon Flow turns bearish (magenta side)
Arrow pops above channel
Exit / Filter:
Opposite arrow
Flow color shift
Trend panel flips
Works on Forex, Crypto, Stocks, Indices — all timeframes.
Happy trading!
krishnadeshmukh/NIFTY50 Micro Sentiment Part 1📘 Script Description: NIFTY50 Micro Sentiment — Part 1
This indicator tracks real-time micro sentiment across the top 25 weighted stocks of the NIFTY50 index using a volume-based distribution model.
🔍 How it works:
Scans last N bars (configurable) for each stock.
Divides each stock’s price range into equal bins.
Measures bullish vs bearish volume in each bin based on:
Candle Color (Close > Open) or
Close Near High (Close > Midpoint).
Assigns a sentiment value:
+1 → Bullish dominance
-1 → Bearish dominance
0 → Neutral
📊 Each stock's sentiment is weighted by its contribution to the index.
🧮 Displays:
Weighted Sentiment Score
Bullish / Bearish / Neutral Components
Updated every 5 bars with an easy-to-read table.
Use this to gauge underlying micro shifts in sentiment before broader market moves.
Custom Reversal Oscillator [wjdtks255]📊 Indicator Overview: Custom Reversal Oscillator
This indicator is a momentum-based oscillator designed to identify potential trend reversals by analyzing price velocity and relative strength. It visualizes market exhaustion and recovery through a dynamic histogram and signal dots, similar to premium institutional tools.
Key Components
Dynamic Histogram (Bottom Bars): Changes color based on momentum strength. Bright Green/Red indicates accelerating momentum, while Darker shades suggest fading strength.
Signal Line: A white line tracing the core momentum, helping to visualize the "wave" of the market.
Buy/Sell Dots: Small circles at the bottom (Mint) or top (Red) that signal high-probability reversal points when the market is overextended.
📈 Trading Strategy (How to Trade)
1. Long Entry (Buy Signal)
Condition 1: The price should ideally be near or above the 200 EMA (for trend following) or showing a Bullish Divergence.
Condition 2: The Histogram bars transition from Dark Red to Bright Green.
Condition 3: A Mint Buy Dot appears at the bottom of the oscillator (near the -25 level).
Entry: Enter on the close of the candle where the Buy Dot is confirmed.
2. Short Entry (Sell Signal)
Condition 1: The price is struggling at resistance or showing a Bearish Divergence.
Condition 2: The Histogram bars transition from Dark Green to Bright Red.
Condition 3: A Red Sell Dot appears at the top of the oscillator (near the +25 level).
Entry: Enter on the close of the candle where the Sell Dot is confirmed.
3. Exit & Take Profit
Take Profit: Close the position when the Signal Line reaches the opposite extreme or when the histogram color starts to fade (loses its brightness).
Stop Loss: Place your stop loss slightly below the recent swing low (for Longs) or above the recent swing high (for Shorts).
💡 Pro Tips for Accuracy
Watch for Divergences: The most powerful signals occur when the price makes a lower low, but the Custom Reversal Oscillator makes a higher low. This indicates "Hidden Strength" and a massive reversal is often imminent.
Scalping Acciones PRO (Entradas + TP + SL) leo
How to use it correctly
• Timeframe: 1m or 5m
• High-volume stocks (SPY, AAPL, TSLA, NVDA…)
• Take Profit (TP): VWAP or EMA 21
• Stop Loss (SL): low/high of the signal candle
⸻
If you want, in the next message I can:
• 🔧 add automatic Stop Loss and Take Profit
• 🚀 convert it into a strategy (Strategy Tester)
• 🎯 filter only strong reversals (fewer false signals)
AI PRE-MARKET PRO - True/Fake Gap Classification-Version 1.0## **AI PRE-MARKET PRO: QUICK START GUIDE**
This indicator classifies market gaps by comparing the **Current Price** to yesterday’s **High (PDH)**, **Low (PDL)**, and **Close (PDC)**.
### **1. GAP CLASSIFICATIONS**
* **🔥 TRUE GAPS (High Momentum)**
* **True Gap Up:** Price is above PDH. The market is in "Discovery Mode." High probability of trend continuation.
* **True Gap Down:** Price is below PDL. Significant bearish sentiment. High probability of further selling.
* **⚠️ FAKE GAPS (Mean Reversion)**
* **Fake Gap Up:** Above PDC but below PDH. Price is "trapped" in yesterday's value. Often reverts to the Close (PDC).
* **Fake Gap Down:** Below PDC but above PDL. Price is "trapped." Often bounces back toward the Close (PDC).
### **2. TRADING STRATEGY CHEAT SHEET**
| Scenario | Primary Play | Entry Logic |
| --- | --- | --- |
| **True Gap Up** | **Continuation** | Wait for a pullback to **PDH**; buy the hold. |
| **True Gap Down** | **Continuation** | Wait for a rally to **PDL**; short the rejection. |
| **Fake Gap Up** | **Fade/Range** | Short the rejection of **PDH** or **ONH**; target **PDC**. |
| **Fake Gap Down** | **Fade/Range** | Buy the bounce at **PDL** or **ONL**; target **PDC**. |
### **3. CRITICAL LEVELS ON YOUR CHART**
* **PDH / PDL:** The "Line in the Sand." Breaking these turns a Fake Gap into a True Gap.
* **ONH / ONL:** Overnight High/Low. These are your immediate support/resistance targets for the first 30 minutes of trading.
* **PDC:** Previous Day Close. The "Magnet." If the market doesn't trend, it usually returns here.
### **4. HOW TO READ THE AI TABLES**
* **Left Table:** Shows real-time distance (RT Δ) to key levels and whether they have been hit yet (**Mitigated**).
* **Bottom Tables:** Provide a probability-based "Game Plan" and specific execution rules (e.g., "Wait for 15-minute confirmation").
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**Next Step:** Would you like me to show you how to set up an alert for when the price crosses the **PDH** or **PDL** to catch a True Gap breakout?
