Quantum Scanner Equalizer [Point algo]The Quantum State Scanner is an advanced quantitative dashboard designed to provide a comprehensive "Health Check" of any financial instrument. Instead of relying on a single timeframe or a single mathematical model, the Quantum Scanner aggregates data across 12 distinct lookback periods (based on the Fibonacci sequence) to calculate the market's true state.
By normalizing complex data into a simplified 0-100 Equalizer HUD, traders can instantly identify whether a move is backed by broad-spectrum consensus or is simply a low-conviction anomaly.
The 5 Pillars of Quantum Analysis
The scanner calculates five core "Quantum Pillars" before aggregating them into a final Master Score:
1. Trend (TRND): Analyzes the relationship between Price, VWMA, and EMA across 12 periods. Considers whether price is structurally bullish or bearish.
2. Momentum (MOM): Uses a Stoch-RSI derivation to measure the speed of price movement and identify overbought/oversold exhaustion zones.
3. Volatility (VOLA): Employs a Bollinger/Keltner Squeeze engine. Higher scores indicate expanding volatility (expansion), while lower scores indicate a squeeze (contraction).
4. Volume Delta (VOLU): Measures the internal force of the market by calculating Buy vs. Sell volume pressure.
5. Structure (STRC): A price-action engine that scans for liquidity sweeps (High/Low breaks) and candle rejections to determine structural strength.
How to Read the Scanner
0-40 (Red Zone): Strong Bearish Consensus.
40-60 (Yellow Zone): Neutral / Indecision / Consolidation.
60-100 (Green Zone): Strong Bullish Consensus.
High Conviction Signals: When the Master Score exceeds 80 or drops below 20, the background of the chart will dynamically highlight, signaling a potential "Power Move" or trend ignition.
Key Features
1. Dynamic HUD: A sleek, minimalist "Equalizer" UI positioned to the right of your price action.
2. Aggregated Logic: Processes data from lookback periods 5 through 987 simultaneously.
3. Right-Offset Control: Easily move the dashboard to prevent it from overlapping with your candles.
Disclaimer:
Educational Purpose Only: This indicator ("The Script") is provided for educational and informational purposes only. It does not constitute financial, investment, tax, or legal advice.
No Guarantee of Results: Past performance, whether actual or simulated by backtesting, is not indicative of future results. The mathematical models used (including GARCH, Ito’s Lemma, and Volume-Weighted calculations) are theoretical and do not account for market slippage, liquidity gaps, or "black swan" events.
Assumption of Risk: Trading involves a substantial risk of loss and is not suitable for every investor. You are solely responsible for your own trading decisions. Pointalgo and its creators shall not be held liable for any financial losses or damages resulting from the use of this script. Indicator
Machine Learning: Trend Classifier [identityKa]Overview
The Machine Learning: Trend Classifier is a professional-grade algorithmic momentum and trend analysis tool designed for data-driven traders. Unlike traditional moving averages that inherently lag behind live price action, this script introduces a multi-factor mathematical classification engine that evaluates real-time market behavior to predict the true direction of the trend.
Core Mechanics & Detection
The algorithm uses a continuous data-stream calculation to locate major market shifts:
Bullish Classification (Neon Green): Detected when the underlying momentum, volatility, and trend-flow simultaneously show aggressive upward expansion. The dynamic data ribbon shifts to green, encapsulating the price.
Bearish Classification (Neon Red): Detected when the structural momentum shifts downwards. The dynamic ribbon turns red, acting as algorithmic resistance.
Neutral / Chop Zones (Orange): Detected when the market loses clear direction. The engine recognizes this as a friction zone and shifts to a neutral state, warning the trader of potential whipsaws.
The Algorithmic Classification Engine
A fundamental rule of this indicator is the "AI Confidence Score". The engine normalizes multiple indicators (RSI, CCI, and MACD flows) into a strict 0 to 100 percentage scale.
The script constantly monitors this confidence score. If the score is above 20%, a Bullish state is confirmed. If it is below -20%, a Bearish state is confirmed. Anything in between is classified as market noise.
Upon crossing these algorithmic thresholds, the script instantly updates the on-chart Ribbon, ensuring that only statistically significant trend shifts are highlighted for the trader. This keeps the workspace incredibly clean and mathematically sound.
HUD Dashboard & AI Logic
The on-chart intelligence panel evaluates the live market state and generates actionable data:
Dangerous: Displayed actively whenever the current live price is trading inside the Neutral zone (Confidence Score between -20% and 20%). This serves as a warning that the price is in a high-friction area where sharp rejections and false breakouts are imminent.
LONG / SHORT: The engine tracks the macro bias based on the classification state. If the AI Confidence heavily favors upward momentum, the bias shifts to LONG. If the momentum breaks downwards, the bias shifts to SHORT.
How to Use It
This tool provides exceptional context for trade entries and trend following. When the AI Suggestion reads "LONG," traders should look for pullbacks toward the lower band of the green ribbon. When the state reads "Dangerous," it is highly recommended to stay out of the market or tighten stop losses until a clear trend direction is re-established by the algorithm. Indicator
Indicator
Murder Algo Stats: last portion of Indices closing hour (S&P)Stats regarding the 'murder algo' (last 10mins of the closing hour). Works on all sub-1hr timeframes. Best used on 5min, 10min 15min timeframe. Ideal use on 10min timeframe.
Can be applied to other user input sessions also
What i'm calling the 'Murder Algo' is the tendency of dynamic lower time frame price action in the final 10minutes of the S&P closing hour (or any of the three major US indices: S&P, Nasdaq, Dow).
If there are un-met liquidity targets (i.e. clean highs or lows) as we come into the last portion of the closing hour, price has a tendency to stretch up or down to reach these targets, swiftly.
These statisitics are somewhat experimental/research; trying to quantify this tendency. Please comment below if you think of some additions / modifications that may prove useful.
//Purpose:
-To get statistics of the tendency to 'reach' of the final bar (10minute bar in the above) of the closing hour in Indices (3pm - 4pm NY time).
-Specifically to see how often price reaches for HH or LL in the final bar of the closing hour (most of the time); and to see how far it reaches one way when it does (Mean, median, mode).
//Notes:
-Two sets of historical stats; one is based on the 'solo reach' of the last bar; the other is based on the reach of the last bar from the average price of the preceding bars of the session (purple line in the above)
-Works on any timeframe below hourly. Ideally used on 10min timeframe, but may be interesting to plot on 15min or 5min timeframe also.
-Should also work on custom user-defined session; though this indicator was explicly designed to investigate the 'murder algo': that final rush and/or whipsaw tendency of price in the last few minutes of Regular trading on Indices.
-For S&P, best used on SPX, which gives the longest history of all the S&P variants due to only showing Regular trading hours bars (500 days of history on 10min timeframe, for premium users)
-For most stats, i've rounded to ES1! mintick (i.e. rounded to nearest quarter dollar) =>> This allows more meaningful values for 'mode' statistical measure.
-I trade S&P; but this 'muder algo' phenomenon also obviously presents in Nasdaq and Dow.
//User Inputs:
-Session time input (defaults to closing hour 3pm - 4pm NY time)
-Average method (for the average of all the input session EXCEPT the final bar)
-Toggle on/off Average line.
-other formatting options: text color, table position, line color/style/size.
Example usage with annotations on SPX 500 chart 15m timeframe; using closing hour (3pm-4pm NY time) as our session:
Indicator
Strategy
Strategy
