Machine Learning Z-Score Buy and Sell [SS]Hey everyone,
Releasing this Z-Score based buy and sell indicator.
What it does
This indicator:
Uses Z-score and trend to identify potential buy and sell areas.
Signals those buy and sell areas and provides a target price based on the mean.
Plots the target price for buy and sell signals as a red line (for sell signals) or green line (for buy signals).
Has some "machine learning" aspects, namely, it is able to auto select its lookback length based on its analysis of the trend using Pienscript's trend correlation function iterated over multiple lengths, in order for the indicator to identify:
a) The strongest trend; and
b) The correct target price
What is Z-Score
Z-Score is a measure of the mean. Thus, this is a mean reverting type strategy, as it uses z-score to determine price's distance from the mean (or a Z-Score of 0) and then it looks at historic deviations from the mean to signal the buy and sell signals (i.e. how far has price traditionally drifted from the mean before reverting).
Z-Score is a powerful tool in this sense, and if you folow my other indicators, you will know how much I love Z-score!
How to use the indicator
If you want to use the full Machine Learning capabilities of the indicator, its best to just leave all default settings. These default settings will automatically adjust the mean target price and buy and sell signals to align with the current price action.
If you want to be more aggressive in your
Target Price; and
Signals
Then you can opt to manually input a lookback length and mean reversion standard deviation. However, I generally suggest to avoid this as you are then making your own determination of trend by qualitative assessment. It can work, but its just not suggested.
In the input menu, you will see the option to "Manually select lookback" thus over-riding the auto-determination of trend and targets.
You will also see "manual pullback" enabler and "Pullback Standard Deviation". You can set your pullback standard deviation if you want to be more aggressive. The indicator will naturally shift to conservative target prices based on a neutral mean. However, if you want to increase the aggressiveness of the target price, you can increase or decrease the pullback standard deviation.
General Tips about Manually Adjusting Pullback Target
Here are some tips if you want to manually adjust the pullback targets:
The pullback target needs to be in a standard deviation value, this can be anywhere from 0 to 4 or 0 to -4 (you can theoretically go higher but its not really realistic). You can also do decimals, so 1.5 or 1.25 etc.
To determine whether you should be doing negative or positive standard deviation, you should determine the trend. If it is a downtrend and you are looking to short the rips, you will want to select a negative number, like -1.
If it is an uptrend and you want to buy the dips, you should be selecting a positive number, like 1 or 1.5.
Again, I do suggest leaving the indicator to decide for itself, but the options are there for those who wish.
Overall strategy
This is a mean reverting strategy. So if you are a mean reversion trader, this may be of particular interest to you.
Optional
Optionally, you can have the indicator plot the target prices or not, simply toggle this functionality off or on in the settings menu.
Concluding remarks
That is the indicator in a nutshell!
I hope you enjoy it and find it helpful.
Feel free to check out my other Z-Score based indicators if you find this interesting or want to learn more about the power of Z-Score in trading!
Thanks all and safe trades!
Statistics
svm tikole ADX rsi How this works:
ADX checks trend strength. (Above 25 = strong trend)
RSI confirms momentum (above 50 = bullish, below 50 = bearish).
Strong Buy = ADX strong + DI+ > DI– + RSI > 50.
Strong Sell = ADX strong + DI– > DI+ + RSI < 50.
Buy/Sell labels are plotted on chart.
RSI panel included as optional.
👉 This script is error-free and gives clear strong buy/sell signals.
Liquidity Box By "heman7knows"Code Description
This Pine Script Indicator Draws Custom Boxes On A Chart To Highlight Specific Trading Hours. It Allows You To Select A Timezone And Configure Up To Five Different Sessions. Each Box Automatically Adjusts To Show The Highest And Lowest Prices Reached During Its Respective Session. Users Can Customize The Time, Color, And Visibility Of Each Individual Session Box Through The Indicator's Settings.
Weekly SMA200 Distance – Percentile ZonesThe Weekly SMA200 Distance – Percentile Zones indicator measures the percentage distance of price relative to the 200-week Simple Moving Average (SMA200) and classifies it into historical percentile zones.
This tool helps identify the context of an asset in relation to its long-term trend:
Cheap Zone (< P25): price at historically low levels relative to the SMA200.
Value Zone (P25–P50): neutral range, where price trades around its long-term average.
Acceptable Zone (P50–P65): moderately high levels, still reasonable within an uptrend.
Not Recommended Zone (P65–P76): overextended territory with rising correction risk.
Very Expensive Zone (≥ P76): extreme levels, historically linked to overvaluation and potential market tops.
Percentile calculations update dynamically with each new weekly candle, providing a robust and objective statistical perspective for investment and trading decisions.
✅ In summary
This indicator works as a quantitative valuation map: showing whether the asset is cheap, fairly valued, acceptable, risky, or very expensive relative to its historical distance from the weekly SMA200.
Hourly Range Dashboard (2.0)This dashboard displays each hourly candles range, High minus Low based on an adjustable Look Back in Days. This clearly shows the most active times/hour of day and range of an instrument and the specific hour(s) that its volatility is low during a 24-hour trading session and the hours that the volatility is high. This can help to focus your trading hours based on the most active/volatility.
Price-Volume RelationshipVolume is the relationship between price and performance. Set the candlestick quantity in the settings. It analyzes price and volume based on the number of candlesticks you specify to determine price expectations.
A1TradeHub - Oscillator Matrix [1.0]A1TradeHub Oscillator Matrix — Quick Use
🟩 Buy Zone (Oversold)
Enter calls when the fast line (yellow) crosses up the signal (white) from green and price confirms at support (PDL/PM L/EMA 48–200).
🟥 Sell Zone (Overbought)
Enter puts when the fast line crosses down the signal from red and price rejects resistance (PDH/PM H/EMA 48–200).
📈 Trend Filter (Matrix tag)
Trade with the tag: Trend: BULLISH → prefer calls, Trend: BEARISH → prefer puts. Opposite-trend = scalp only.
⚡ Trigger Quality
Stronger when both lines exit a zone together and expand; weak if they flatten or weave near the 0-line.
0️⃣ Midline (0 level)
First scale at the 0-line; flips here often start the next leg.
🎯 Targets & Exits
Target next S/R; take +40–60% and trail the 13 EMA. Exit if the fast line re-crosses or wave fails to leave the zone.
🚫 No-Trade
Avoid entries when lines chop inside the middle band or momentum waves are small/flat.
🔔 Heads-Up
“OB” near the red band = watch for reversal puts; mirrored idea for deep green = call bounces.
Derivative Dynamics Indicator [MarktQuant]The Derivative Dynamics Indicator is a versatile technical indicator that combines several critical metrics used in cryptocurrency and derivatives trading. It helps traders understand the relationship between spot prices, perpetual contract prices, trading volume pressure, and open interest across multiple exchanges. This indicator provides real-time visualizations of:
Funding Rate : The cost traders pay or receive to hold perpetual contracts, indicating market sentiment.
Open Interest (OI) : The total value of outstanding derivative contracts, showing market activity.
Cumulative Volume Delta (CVD) : A measure of buying vs. selling pressure over time.
Additional Data: Includes customizable options for volume analysis, smoothing, and reset mechanisms.
Key Features & How It Works
1. Metric Selection
You can choose which main metric to display:
Funding Rate: Shows the current funding fee, reflecting market sentiment (positive or negative).
CVD: Tracks buying vs. selling pressure, helping identify trend strength.
Open Interest: Displays total outstanding contracts, indicating market activity levels.
2. Volume Data Validation
The script checks if the selected chart includes volume data, which is essential for accurate calculations, especially for CVD. If volume data is missing or zero for multiple bars, it warns you to verify your chart setup.
3. CVD Calculation Methods
You can select how the CVD (Cumulative Volume Delta) is calculated:
Basic: Uses candle open and close to estimate whether buying or selling pressure dominates.
Advanced: Uses a money flow multiplier considering price position within high-low range, generally more accurate.
Tick Estimation: Uses percentage price change to estimate pressure.
You can also choose to display a smoothed version of CVD via a Simple Moving Average (SMA) to better visualize overall trends.
4. CVD Reset Option
To prevent the CVD value from becoming too large over long periods, you can set the indicator to reset periodically after a specified number of bars.
5. CVD Scaling
Adjust the scale of CVD values for better visibility:
Auto: Automatically adjusts based on magnitude.
Raw: Shows raw numbers.
Thousands/Millions: Divides the CVD values for easier reading.
Funding Rate Calculation
The indicator fetches data from multiple popular exchanges (e.g., Binance, Bybit, OKX, MEXC, Bitget, BitMEX). You can select which exchanges to include.
It calculates the funding rate by taking the mean of spot and perpetual prices across selected exchanges.
Open interest is fetched similarly and scaled according to user preferences (auto, millions, billions). It indicates the total amount of open contracts, providing insight into market activity intensity.
Visualizations & Data Presentation
Funding Rate: Shown as colored columns—green for positive (bullish sentiment), red for negative (bearish sentiment).
Open Interest: Displayed as a line, showing overall market activity.
CVD & SMA: Plotted as lines to visualize buying/selling pressure and its smoothed trend.
Information Table: Located at the top right, summarizes:
Current base currency
Number of active sources (exchanges)
Calculated funding rate
Total open interest
Current CVD and its SMA
Last delta (buy vs. sell pressure)
How to Use It
Select Metrics & Exchanges: Choose which data you want to see and from which exchanges.
Adjust Settings: Tweak CVD calculation method, SMA length, reset interval, and scaling options.
Interpret Visuals:
A positive funding rate suggests traders are paying long positions, often indicating bullish sentiment.
Negative funding rates can indicate bearish market sentiment.
Rising CVD indicates increasing buying pressure.
Open interest spikes typically mean increased market participation.
Important Notes
The indicator relies on the availability of volume data for accurate CVD calculation.
Always verify that the exchanges and symbols are correctly set and supported on your chart.
Use the combined insights from funding rates, CVD, and open interest for a comprehensive market view. This tool is designed for research purposes only.
Peak Traker by Futures.RobbyOverview
Peak Tracker is a specialized tool designed to assist traders in proprietary trading challenges. Its main purpose is to help you identify and track the maximum value (the "peak") within an active trade. This is crucial for keeping an eye on your trailing drawdown and avoiding rule violations. The indicator visualizes up to three separate trade windows and provides all necessary data in a clear table.
Key Features
Trailing Drawdown Tracking: The primary function of this indicator is to accurately track the peak value from your entry point to your exit. This helps you minimize the risk of violating drawdown rules in your funding challenge.
Visual Representation: It draws vertical lines for the entry (green) and exit (red) points directly on the chart. This clearly visualizes the exact time frames that are relevant for managing your drawdown.
Dynamic Real-Time Tracking: Within an active trade window, the indicator continuously tracks the highest price reached (Peak) while the entry price (Entry) remains fixed. This allows you to calculate your current drawdown at any moment.
Clear Data Table: A customizable table provides all relevant information at a glance: Trade ID, Entry/Peak prices, and exact timestamps for entry and exit. The numbers are formatted for easy reading using the German number style (e.g., 12.345,67).
Flexible Input: The indicator supports various date and time formats (17:47:00, 2025-08-30 17:14:00, 27.08.25 15:00). The time zone is automatically converted from your local time to the chart's time for precise line placement.
How to Use
Add the indicator to your chart.
Open the indicator's settings (⚙️).
Under "Datums- und Zeit-Eingaben," enter the desired time frames for your trades.
The indicator updates in real time, showing your trade's progress.
Conclusion
This indicator is an essential tool for any trader participating in prop firm challenges who needs a precise method to monitor their trailing drawdown. It provides clarity and visual support to help you avoid rule violations and maximize your chances of success.
Simple MADSimple MAD is a lightweight and customizable indicator that calculates the Median Absolute Deviation (MAD) over a configurable period to measure market volatility. It dynamically displays Stop-Loss (SL) and Take-Profit (TP) levels based on MAD multipliers, both in absolute price and percentage terms.
The indicator includes a clean, watermark-style table with full layout controls — allowing you to adjust position, text size, alignment, and colors. It supports both manual entry price and automatic use of the latest close, making it ideal for traders who want to manage risk with precision and clarity.
Perfect for swing traders, volatility-based strategies, and anyone looking to integrate MAD into their decision-making.
Date Range Performance
Calculates total change and percentage change between two dates.
Computes average change per bar and per day.
Offers arithmetic and geometric daily %.
Supports auto mode (last N trading days) and manual date range.
Displays results as a watermark on the chart.
EMA Percentile Rank [SS]Hello!
Excited to release my EMA percentile Rank indicator!
What this indicator does
Plots an EMA and colors it by short-term trend.
When price crosses the EMA (up or down) and remains on that side for three subsequent bars, the cross is “confirmed.”
At the moment of the most recent cross, it anchors a reference price to the crossover point to ensure static price targets.
It measures the historical distance between price and the EMA over a lookback window, separately for bars above and below the EMA.
It computes percentile distances (25%, 50%, 85%, 95%, 99%) and draws target bands above/below the anchor.
Essentially what this indicator does, is it converts the raw “distance from EMA” behavior into probabilistic bands and historical hit rates you can use for targets, stop placement, or mean-reversion/continuation decisions.
Indicator Inputs
EMA length: Default is 21 but you can use any EMA you prefer.
Lookback: Default window is 500, this is length that the percentiles are calculated. You can increase or decrease it according to your preference and performance.
Show Accumulation Table: This allows you to see the table that shows the hits/price accumulation of each of the percentile ranges. UCL means upper confidence and LCL means lower confidence (so upper and lower targets).
About Percentiles
A percentile is a way of expressing the position of a value within a dataset relative to all the other values.
It tells you what percentage of the data points fall at or below that value.
For example:
The 25th percentile means 25% of the values are less than or equal to it.
The 50th percentile (also called the median) means half the values are below it and half are above.
The 99th percentile means only 1% of the values are higher.
Percentiles are useful because they turn raw measurements into context — showing how “extreme” or “typical” a value is compared to historical behavior.
In the EMA Percentile Rank indicator, this concept is applied to the distance between price and the EMA. By calculating percentile distances, the script can mark levels that have historically been reached often (low percentiles) or rarely (high percentiles), helping traders gauge whether current price action is stretched or within normal bounds.
Use Cases
The EMA Percentile Rank indicator is best suited for traders who want to quantify how far price has historically moved away from its EMA and use that context to guide decision-making.
One strong use case is target setting after trend shifts: when a confirmed crossover occurs, the percentile bands (25%, 50%, 85%, 95%, 99%) provide statistically grounded levels for scaling out profits or placing stops, based on how often price has historically reached those distances. This makes it valuable for traders who prefer data-driven risk/reward planning instead of arbitrary point targets. Another use case is identifying stretched conditions — if price rapidly tags the 95% or 99% band after a cross, that’s an unusually large move relative to history, which could signal exhaustion and prompt mean-reversion trades or protective actions.
Conversely, if the accumulation table shows price frequently resides in upper bands after bullish crosses, traders may anticipate continuation and hold positions longer . The indicator is also effective as a trend filter when combined with its EMA color-coding : only taking trades in the trend’s direction and using the bands as dynamic profit zones.
Additionally, it can support multi-timeframe confluence (if you align your chart to the timeframes of interest), where higher-timeframe trend direction aligns with lower-timeframe percentile behavior for higher-probability setups. Swing traders can use it to frame pullbacks — entering near lower percentile bands during an uptrend — while intraday traders might use it to fade extremes or ride breakouts past the median band. Because the anchor price resets only on EMA crosses, the indicator preserves a consistent reference for ongoing trades, which is especially helpful for managing swing positions through noise .
Overall, its strength lies in transforming raw EMA distance data into actionable, probability-weighted levels that adapt to the instrument’s own volatility and tendencies .
Summary
This indicator transforms a simple EMA into a distribution-aware framework: it learns how far price tends to travel relative to the EMA on either side, and turns those excursions into percentile bands and historical hit rates anchored to the most recent cross. That makes it a flexible tool for targets, stops, and regime filtering, and a transparent way to reason about “how stretched is stretched?”—with context from your chosen market and timeframe.
I hope you all enjoy!
And as always, safe trades!
New Highs - MarkerDescription:
This indicator highlights every bar that sets a new high or matches the previous high.
New Highs (ATH or Lookback Highs) are marked with a green triangle above the candle.
Equal Highs (ties) are marked with an orange triangle above the candle.
You can choose between All-Time Highs (lookback = 0) or rolling lookback highs over a user-defined number of bars.
Alerts are included for both new highs and equal highs.
Use this tool to quickly spot breakouts or double-top style patterns as they form.
[KINGS SHUTTER CHANNEL] – Logarithmic Regression Channel With Trend Signals
The KINGS SHUTTER CHANNEL is a next-generation trend and channel detection tool based on logarithmic regression, dynamic slope analysis, and standard deviation envelopes. It automatically adapts to price movement, helping traders identify major trend directions, reversal points, and high-probability trading zones.
Key Features
Logarithmic Regression Core
Fits price into a logarithmic regression curve to model non-linear market growth.
Automatically calculates slope and trend bias (Up/Down).
Adaptive Channel Bands
Builds upper and lower channel lines around the regression using standard deviation.
Channel width is fully adjustable to match different volatility environments.
Midline & Band Fill Options
Optional midline (base regression line) for visual reference.
Smooth color fill between bands to highlight the price channel clearly.
Dynamic Trend Signals
“UP” or “DN” label automatically updates based on the regression direction.
Built-in cross signals:
Up Signal (▲): when price momentum shifts positive.
Down Signal (▼): when momentum shifts negative.
Real-Time Dashboard
Displays slope percentage, channel trend (UP/DN), and log regression bias directly on the chart.
Updates automatically on the latest bar.
Fully Customizable Visuals
Adjustable lookback period, channel length, and width scaling.
Choose your own colors, enable/disable midline, and band fill.
How to Use
Identify Long Trends:
Price moving within an upward sloping channel → bullish trend confirmation.
Identify Short Trends:
Price moving within a downward sloping channel → bearish trend confirmation.
Breakout Zones:
Watch for price action outside the upper/lower bands → possible breakout or exhaustion.
Momentum Shifts:
Up/Down cross signals combined with channel direction provide early trend warnings.
Best For
Swing traders who need trend clarity.
Position traders seeking to ride long waves.
Breakout traders looking for over-extension zones.
Works on stocks, crypto, forex, indices, commodities.
Applicable on any timeframe, from intraday to long-term charts.
[KINGS LINE CANDEL STRATEGY]KINGS LINE CANDLE STRATEGY
The KINGS LINE CANDLE STRATEGY is a price-action + moving-average based visual tool designed to help traders quickly identify short-term trend direction and potential trade zones. It uses two simple yet powerful components:
EMA (Exponential Moving Average) – 9 period
SMA (Simple Moving Average) – custom period (default 9)
This script colors both the EMA line and price candles based on market conditions, making trend shifts more visually obvious.
How It Works
EMA-9 as a Fast Trend Guide:
If price closes above EMA-9, the EMA line turns green (#17dfad).
If price closes below EMA-9, the EMA line turns red (#dd326b).
This gives an instant snapshot of momentum.
SMA as a Reference Line (Optional):
You can enable/disable an SMA with a user-defined length (default = 9).
This SMA provides an additional baseline for price direction.
Candle Coloring Based on SMA:
Candles are green when closing above the SMA, showing bullish strength.
Candles are red when closing below the SMA, showing bearish weakness.
Features
Customizable SMA length (default = 9, can be set to any period).
Toggle SMA visibility for a cleaner or more detailed chart.
Dynamic EMA line color to highlight price momentum shifts.
Automatic candle coloring to confirm price action relative to the SMA.
How to Use
Bullish setups: Look for green EMA + green candles to confirm an uptrend.
Bearish setups: Look for red EMA + red candles to confirm a downtrend.
Potential reversals: When EMA color or candle color flips, it may signal a momentum change.
Can be combined with support/resistance levels, volume, or oscillators for confirmation.
Best For
Scalpers and day traders needing quick trend visualization.
Swing traders as a filter to stay aligned with short-term momentum.
Works on any market (stocks, crypto, forex, indices) and any timeframe.
OB Liquidity SuiteTitle: OB Liquidity Suite
Description:
1. Indicator Overview and Core Concept
The OB Liquidity Suite is an advanced technical analysis tool designed to automatically identify, draw, and analyze high-probability Order Blocks (OBs). It moves beyond simple candle identification by integrating sophisticated confirmation criteria, volume profiling analysis, and multi-timeframe context.
The core philosophy is to provide traders with a comprehensive toolkit for Order Block trading, allowing for deep customization to fit various strategies. The indicator not only plots the OBs but also enriches them with crucial data points like institutional volume clusters, VPOC/TPO levels, and dynamic heatmap coloring, transforming a standard OB into a multi-dimensional zone of interest.
2. The Two Types of Order Block Detection
The indicator employs two distinct, user-selectable algorithms for identifying Order Blocks, each based on a different definition of "momentum shift":
OB1 - Close-to-Close Rate of Change (C2C ROC): This method identifies an Order Block based on a significant percentage change between the close of two consecutive candles. A bullish OB is identified on the last down-candle before a strong upward move, defined by ta.crossover of the ROC value against a user-defined sensitivity threshold (OB1 C2C ROC Sensitivity). This method is excellent for capturing sharp, momentum-driven reversals.
OB2 - Open-to-Lookback-Open Rate of Change (O-LB ROC): This method identifies an Order Block by comparing the current candle's open price to the open price of a previous candle (OB2 Lookback). This is designed to detect broader structural shifts rather than immediate momentum. A bullish OB is identified on the last down-candle preceding a significant upward structural change.
3. Multi-Layered Box Visualization
This indicator's key feature is its ability to draw up to four distinct boxes for each Order Block, providing a layered analytical view. These modules can be enabled individually for each OB type:
Main OB Box: The standard Order Block, defined by the high and low of the identified candle.
Institutional Range / Cluster Box: This is a powerful, data-driven feature. The indicator analyzes the price action before the Order Block was formed, looking for a consolidation range characterized by high volume and RSI extremes. This "cluster" represents a zone of probable institutional accumulation or distribution, adding significant weight to the OB.
VPOC (Volume Point of Control) Box: The indicator samples price and volume data from lower timeframes to calculate the VPOC for the price range of the Order Block. It then draws a box representing a 1-standard-deviation probability zone around this high-volume node.
TPO (Time Price Opportunity) Box: Similar to VPOC, this module calculates the TPO midpoint (the price level with the most time spent) and draws a probability zone around it, offering a time-based perspective on price acceptance.
4. Dynamic Heatmap and Color Styling
To provide an at-a-glance understanding of volume, the indicator includes a dynamic heatmap feature.
Heatmap Background: When enabled, the fill color of the Order Block boxes is dynamically calculated based on the total volume within that OB relative to the recent maximum and minimum volume (Heatmap Volume Lookback). Faint colors indicate low volume, while intense, opaque colors signify high volume, instantly highlighting the most significant OBs.
Customizable Color Styles: The indicator includes four preset color themes (e.g., Blue/Purple, Yellow/Gray) and a "Custom" style that allows the user to define every color manually for full personalization.
5. Higher Timeframe (HTF) Confirmation
To ensure signals align with the broader market trend, the indicator includes an optional HTF confirmation module. When enabled, it will only draw Order Blocks that are confirmed by a corresponding bullish or bearish signal on a user-selected higher timeframe. It can also plot these HTF confirmation levels directly on the chart.
6. Alerts and Labels
Comprehensive Alerts: Alerts can be configured for multiple events:
When a new Order Block is formed.
When price touches the boundary of an existing OB.
When an OB is broken or invalidated by price.
When price touches a confirmed HTF level.
Detailed Volume Labels: Optional labels can be displayed for each OB, showing a breakdown of the OB's own volume, the calculated institutional volume, and the total combined volume
FTA KAMA/ER TABLEusing kauffmans effenciency ratio and adaptive moving average logic ive created a table that shows the strength of trend via numerical values on the table , turn off the bg colors
Break Point Record Table — GSK-VIZAG-AP-INDIA "Break Point Record Table — GSK-VIZAG-AP-INDIA" indicator captures key break points during each trading session and presents a clear, color-coded table overlay on the chart for quick visual reference. Specifically, it logs sessions' open price and monitors subsequent price action for notable breaks in the session high or low prices. Each break event is recorded with the time, price, and percentage change from the previous break, helping traders identify significant price movements within the session at a glance.
Key Features:
Records the session start time and opening price for context.
Tracks every intraday break above the previous session high or below the previous session low.
Calculates and displays the percentage change at each break event.
Highlights breaks with descriptive text including break time and values to aid trade decision-making.
Displays a table with columns for Time, Open, High, Low, and a Description of the event.
Uses color-coded cells to differentiate between session start, highs, lows, and break descriptions for better readability.
Maintains performance and readability by limiting the table to the latest 30 break events.
Usage & Benefits:
This indicator is ideal for intraday traders who want reliable visual cues to monitor momentum shifts and breakout/breakdown points during the trading day. By capturing these break points as discrete events and organizing the data into an easily accessible, visually intuitive table, it improves situational awareness and supports timely trading decisions.
SE – RSI Divergence Scanner (BOTH on 1h & 15m) – v6Screenar svenska mid/large cap bolag som har divergenser i 15 min och 1h timeframe samtidigt.
