RochitThe Rochit Singh Indicator is a technical analysis tool designed to help traders identify market trends, reversals, and potential entry or exit points. It combines multiple price action factors, momentum signals, and volatility metrics to provide a comprehensive view of market conditions. The indicator is tailored for various asset classes, including stocks, forex, and cryptocurrencies, making it a versatile addition to any trader’s toolkit.
Educational
Rochit SinghThe Rochit Singh Indicator is a technical analysis tool designed to help traders identify market trends, reversals, and potential entry or exit points. It combines multiple price action factors, momentum signals, and volatility metrics to provide a comprehensive view of market conditions. The indicator is tailored for various asset classes, including stocks, forex, and cryptocurrencies, making it a versatile addition to any trader’s toolkit.
External Signals Strategy TesterExternal Signals Strategy Tester
This strategy is designed to help you backtest external buy/sell signals coming from another indicator on your chart. It is a flexible and powerful tool that allows you to simulate real trading based on signals generated by any indicator, using input.source connections.
🔧 How It Works
Instead of generating signals internally, this strategy listens to two external input sources:
One for buy signals
One for sell signals
These sources can be connected to the plots from another indicator (for example, custom indicators, signal lines, or logic-based plots).
To use this:
Add your indicator to the chart (it must be visible on the same pane as this strategy).
Open the settings of the strategy.
In the fields Buy Signal and Sell Signal, select the appropriate plot (line, value, etc.) from the indicator that represents the buy/sell logic.
The strategy will open positions when the selected buy signal crosses above 0, and sell signal crosses above 0.
This logic can be easily adapted by modifying the crossover rule inside the script if your signal style is different.
⚙️ Features Included
✅ Configurable trade direction:
You can choose whether to allow long trades, short trades, or both.
✅ Optional close on opposite signal:
When enabled, the strategy will exit the current position if an opposite signal appears.
✅ Optional full position reversal:
When enabled, the strategy will close the current position and immediately open an opposite one on the reverse signal.
✅ Risk Management Tools:
You can define:
Take Profit (TP): Position will be closed once the specified profit (in %) is reached.
Stop Loss (SL): Position will be closed if the price drops to the specified loss level (in %).
BreakEven (BE): Once the specified profit threshold is reached, the strategy will move the stop-loss to the entry price.
📌 If any of these values (TP, SL, BE) are set to 0, the feature is disabled and will not be applied.
🧪 Best Use Cases
Backtesting signals from custom indicators, without rewriting the logic into a strategy.
Comparing the performance of different signal sources.
Testing external indicators with optional position management logic.
Validating strategies using external filters, oscillators, or trend signals.
📌 Final Notes
You can visualize where the strategy detected buy/sell signals using green/red markers on the chart.
All parameters are customizable through the strategy settings panel.
This strategy does not repaint, and it processes signals in real-time only (no lookahead bias).
Auto TrendLines [TradingFinder] Support Resistance Signal Alerts🔵 Introduction
The trendline is one of the most essential tools in technical analysis, widely used in financial markets such as Forex, cryptocurrency, and stocks. A trendline is a straight line that connects swing highs or swing lows and visually indicates the market’s trend direction.
Traders use trendlines to identify price structure, the strength of buyers and sellers, dynamic support and resistance zones, and optimal entry and exit points.
In technical analysis, trendlines are typically classified into three categories: uptrend lines (drawn by connecting higher lows), downtrend lines (formed by connecting lower highs), and sideways trends (moving horizontally). A valid trendline usually requires at least three confirmed touchpoints to be considered reliable for trading decisions.
Trendlines can serve as the foundation for a variety of trading strategies, such as the trendline bounce strategy, valid breakout setups, and confluence-based analysis with other tools like candlestick patterns, divergences, moving averages, and Fibonacci levels.
Additionally, trendlines are categorized into internal and external, and further into major and minor levels, each serving unique roles in market structure analysis.
🔵 How to Use
Trendlines are a key component in technical analysis, used to identify market direction, define dynamic support and resistance zones, highlight strategic entry and exit points, and manage risk. For a trendline to be reliable, it must be drawn based on structural principles—not by simply connecting two arbitrary points.
🟣 Selecting Pivot Types Based on Trend Direction
The first step is to determine the market trend: uptrend, downtrend, or sideways.
Then, choose pivot points that match the trend type :
In an uptrend, trendlines are drawn by connecting low pivots, especially higher lows.
In a downtrend, trendlines are formed by connecting high pivots, specifically lower highs.
It is crucial to connect pivots of the same type and structure to ensure the trendline is valid and analytically sound.
🟣 Pivot Classification
This indicator automatically classifies pivot points into two categories :
Major Pivots :
MLL : Major Lower Low
MHL : Major Higher Low
MHH : Major Higher High
MLH : Major Lower High
These define the primary structure of the market and are typically used in broader structural analysis.
Minor Pivots :
mLL: minor Lower Low
mHL: minor Higher Low
mHH: minor Higher High
mLH: minor Lower High
These are used for drawing more precise trendlines within corrective waves or internal price movements.
Example : In a downtrend, drawing a trendline from an MHH to an mHH creates structural inconsistency and introduces noise. Instead, connect points like MHL to MHL or mLH to mLH for a valid trendline.
🟣 Drawing High-Precision Trendlines
To ensure a reliable trendline :
Use pivots of the same classification (Major with Major or Minor with Minor).
Ensure at least three valid contact points (three touches = structural confirmation).
Draw through candles with the least deviation (choose wicks or bodies based on confluence).
Preferably draw from right to left for better alignment with current market behavior.
Use parallel lines to turn a single trendline into a trendline zone, if needed.
🟣 Using Trendlines for Trade Entries
Bounce Entry: When price approaches the trendline and shows signs of reversal (e.g., a reversal candle, divergence, or support/resistance), enter in the direction of the trend with a logical stop-loss.
Breakout Entry: When price breaks through the trendline with strong momentum and a confirmation (such as a retest or break of structure), consider trading in the direction of the breakout.
🟣 Trendline-Based Risk Management
For bounce entries, the stop-loss is placed below the trendline or the last pivot low (in an uptrend).
For breakout entries, the stop-loss is set behind the breakout candle or the last structural level.
A broken trendline can also act as an exit signal from a trade.
🟣 Combining Trendlines with Other Tools (Confluence)
Trendlines gain much more strength when used alongside other analytical tools :
Horizontal support and resistance levels
Moving averages (such as EMA 50 or EMA 200)
Fibonacci retracement zones
Candlestick patterns (e.g., Engulfing, Pin Bar)
RSI or MACD divergences
Market structure breaks (BoS / ChoCH)
🔵 Settings
Pivot Period : This defines how sensitive the pivot detection is. A higher number means the algorithm will identify more significant pivot points, resulting in longer-term trendlines.
Alerts
Alert :
Enable or disable the entire alert system
Set a custom alert name
Choose how often alerts trigger (every time, once per bar, or on bar close)
Select the time zone for alert timestamps (e.g., UTC)
Each trendline type supports two alert types :
Break Alert : Triggered when price breaks the trendline
React Alert : Triggered when price reacts or bounces off the trendline
These alerts can be independently enabled or disabled for all trendline categories (Major/Minor, Internal/External, Up/Down).
Display :
For each of the eight trendline types, you can control :
Whether to show or hide the line
Whether to delete the previous line when a new one is drawn
Color, line style (solid, dashed, dotted), extension direction (e.g., right only), and width
Major lines are typically thicker and more opaque, while minor lines appear thinner and more transparent.
All settings are designed to give the user full control over the appearance, behavior, and alert system of the indicator, without requiring manual drawing or adjustments.
🔵 Conclusion
A trendline is more than just a line on the chart—it is a structural, strategic, and flexible tool in technical analysis that can serve as the foundation for understanding price behavior and making trading decisions. Whether in trending markets or during corrections, trendlines help traders identify market direction, key zones, and high-potential entry and exit points with precision.
The accuracy and effectiveness of a trendline depend on using structurally valid pivot points and adhering to proper market logic, rather than relying on guesswork or personal bias.
This indicator is built to solve that exact problem. It automatically detects and draws multiple types of trendlines based on actual price structure, separating them into Major/Minor and Internal/External categories, and respecting professional analytical principles such as pivot type, trend direction, and structural location.
WMA and Intraday Highest Volume Candle Levels🔹 WMA Calculation (Weighted Moving Averages)
Custom WMA Function:
Uses a manual weighted average calculation.
Assigns more weight to recent prices for smoother trend detection.
Three Timeframes:
5-Minute WMA (Yellow)
15-Minute WMA (Blue)
30-Minute WMA (Red)
🔹 Intraday Highest Volume Candle Levels
Finds the candle with the highest volume for the selected intraday timeframe.
Stores its High & Low levels to act as support/resistance.
Deletes and redraws lines daily to reflect the latest session's highest volume candle.
Plots horizontal lines:
Green Line: High of the highest volume candle.
Red Line: Low of the highest volume candle.
Customization: User can choose the analysis timeframe (default: 3 minutes).
✅ Benefits of This Indicator
✔ Multi-timeframe trend analysis using WMA.
✔ Key intraday levels based on highest volume candle.
✔ Dynamic support & resistance levels based on real-time volume activity.
✔ Customizable timeframe for volume analysis.
Elliott Wave Identification By Akash Patel
This script is designed to visually highlight areas on the chart where there are consecutive bullish (green) or bearish (red) candles. It also identifies sequences of three consecutive candles of the same type (bullish or bearish) and highlights those areas with adjustable box opacity. Here's a breakdown of the functionality:
---
### Key Features:
1. **Bullish & Bearish Candle Identification:**
- **Bullish Candle:** When the closing price is higher than the opening price (`close > open`).
- **Bearish Candle:** When the closing price is lower than the opening price (`close < open`).
2. **Consecutive Candle Counter:**
- The script counts consecutive bullish and bearish candles, which resets when the direction changes (from bullish to bearish or vice versa).
- The script tracks these counts using the `bullishCount` and `bearishCount` variables, which are incremented based on whether the current candle is bullish or bearish.
3. **Highlighting Candle Areas:**
- If there are **3 or more consecutive bullish candles**, the script will highlight the background in a green color with 90% transparency (adjustable).
- Similarly, if there are **3 or more consecutive bearish candles**, the script will highlight the background in a red color with 90% transparency (adjustable).
4. **Three-Candle Sequence:**
- The script checks if there are three consecutive bullish candles (`threeBullish`) or three consecutive bearish candles (`threeBearish`).
- A box is drawn around these areas to visually highlight the sequence. The boxes extend to the right edge of the chart, and their opacity can be adjusted.
5. **Box Creation:**
- For bullish sequences, a green box is created using the high and low prices of the three candles in the sequence.
- For bearish sequences, a red box is created in the same manner.
- The box size is determined by the highest high and the lowest low of the three consecutive candles.
6. **Box Opacity:**
- You can adjust the opacity of the boxes through the input parameters `Bullish Box Opacity` and `Bearish Box Opacity` (ranging from 0 to 100).
- A higher opacity will make the boxes more solid, while a lower opacity will make them more transparent.
7. **Box Cleanup:**
- The script also includes logic to remove boxes when they are no longer needed, ensuring the chart remains clean without excessive box overlays.
8. **Extending Boxes to the Right:**
- When a bullish or bearish sequence is identified, the boxes are extended to the right edge of the chart for continued visibility.
---
### How It Works:
- **Bullish Area Highlight:** When three or more consecutive bullish candles are detected, the background will turn green to indicate a strong bullish trend.
- **Bearish Area Highlight:** When three or more consecutive bearish candles are detected, the background will turn red to indicate a strong bearish trend.
- **Three Consecutive Candle Box:** A green box will appear around three consecutive bullish candles, and a red box will appear around three consecutive bearish candles. These boxes can be extended to the right edge of the chart, making the sequence visually clear.
---
### Adjustable Parameters:
1. **Bullish Box Opacity:** Set the opacity (transparency) level of the bullish boxes. Ranges from 0 (completely transparent) to 100 (completely opaque).
2. **Bearish Box Opacity:** Set the opacity (transparency) level of the bearish boxes. Ranges from 0 (completely transparent) to 100 (completely opaque).
---
This indicator is useful for identifying strong trends and visually confirming market momentum, especially in situations where you want to spot sequences of bullish or bearish candles over multiple bars. It can be customized to suit different trading styles and chart preferences by adjusting the opacity of the boxes and background highlights.
Hossa OTF 4-candles"Hossa OTF 4-candles," overlays mini-representations of the higher timeframe candle on your current chart and displays a countdown timer showing how much time remains until that higher timeframe candle closes. Here’s how it works and how you might use it:
How It Works
Multi-Timeframe Display:
The indicator fetches the open, high, low, and close of a higher timeframe candle based on the timeframe you select (for example, 1H, 4H, 8H, 1D, or 1W). It then draws four mini-candles that update as new higher timeframe candles are formed.
Simple Stopwatch Countdown:
It retrieves the open time of the current higher timeframe candle and calculates its full duration (using the timeframe’s minutes converted to milliseconds). The indicator then subtracts the elapsed time from the total duration to show a countdown (formatted in hours and minutes) that tells you how long until the current candle closes.
How to Use It
Multi-Timeframe Analysis:
Use this indicator to see at a glance the status of the higher timeframe candle while you trade on a lower timeframe. For instance, if you're trading on a 5-minute chart but want to see what the 4-hour candle is doing, this indicator places a mini-representation of that 4-hour candle right on your chart.
Time-Based Entries/Exits:
The countdown helps you prepare for potential shifts in market sentiment as the higher timeframe candle closes. For example, if you notice a pattern or reversal setup on your lower timeframe near the end of the higher timeframe candle, it could signal an opportunity to enter or exit a trade.
Confluence with Other Indicators:
Combine this tool with other technical indicators (like RSI, MACD, or moving averages) to build a strategy. For instance, you might wait for a divergence on the lower timeframe as the higher timeframe candle nears its close, which can serve as an extra signal for a potential reversal or breakout.
Example Strategy
Trend Confirmation:
Suppose the 4-hour candle is trending upward. Use the mini-candles and countdown timer to monitor when the current 4-hour candle is about to close.
Entry Signal:
If you see a bullish divergence on your lower timeframe (say, on a 15-minute chart) near the end of the 4-hour candle (as the countdown nears zero), this could signal that the uptrend might continue, suggesting a potential buy signal.
Exit Signal:
Conversely, if you see bearish price action or a breakdown of support as the candle closes, you might consider exiting long positions or even taking a short trade.
Please Share
If you find this indicator useful for your multi-timeframe analysis and timing-based strategies, please consider sharing it with your fellow traders. Sharing helps improve our community's tools and fosters collaboration among traders!
Hossa Sweep/liquidityHossa Sweep/Liquidity – How It Works and How to Use It
The Hossa Sweep/Liquidity indicator is designed to detect “sweep” signals across multiple timeframes. A “sweep” occurs when one candle (Candle #2) pushes beyond the previous candle’s high or low (Candle #1) while both candles share the same color (both bullish or both bearish). Additionally, Candle #1 must have a visible wick. This indicator can help traders identify potential turning points or continuation patterns.
1. How It Operates for Traders
Multiple Timeframes: You can select up to five different timeframes (e.g., 5m, 15m, 1H, 4H, 1D). The indicator will check each chosen timeframe to see if a sweep is happening.
Visual Labels: When it detects a valid sweep:
SL (Sweep Long) label appears below a candle if the sweep is bullish.
SS (Sweep Short) label appears above a candle if the sweep is bearish.
Alerts: The script triggers an alert whenever a new sweep signal appears on any of the selected timeframes, so you won’t miss an opportunity.
2. Practical Ways to Use It
Confluence with Other Signals
Combine these sweep signals with your favorite support/resistance zones, moving averages, or volume profiles. For instance, a sweep at a known support zone can hint at a bullish reversal; a sweep at resistance might suggest a bearish reversal.
Confirm Trend Continuations
Watch for bullish sweeps in an existing uptrend or bearish sweeps in a downtrend. A sweep in line with the overall trend can serve as a continuation signal, helping you time pullback entries.
Identify Potential Reversals
Sweeps often appear near market tops/bottoms when price aggressively tests a previous candle’s high or low. In these areas, a sweep followed by strong follow-through can be a clue of a likely turning point.
Manage Risk More Precisely
Since the indicator specifies exact candle highs/lows, you can plan tighter stop-loss levels or be more precise with your targets.
Request to Share My Work
Dear Users,
I kindly ask for your support in sharing my work with your friends and networks. Every like, share, or recommendation is extremely valuable to me and helps reach a wider audience.
I would be immensely grateful for any form of support and engagement! Thanks to your help, I can continue developing this project and bring more ideas to life.
With sincere appreciation,
[ニコサイン] label stylesWhen displaying the label style sheet on a one-minute chart, 20 different label samples will be shown.
Abhi's Bollinger Band Reversal SignalThis Pine Script indicator is designed to detect reversal trade opportunities using Bollinger Band breakouts. It identifies both buy and sell setups with clearly defined entry, stop-loss (SL), and target (TP) conditions. It also manages trades visually with real-time signal plotting, and limits entries per trading day.
⚙️ How It Works
🔽 Sell Signal Conditions
- The previous candle must close above the upper Bollinger Band, and its entire body must be above the band
- The current candle must fail to break the previous high, and must break below the previous low
- Entry is taken at the previous candle’s low, with SL at its high
- Target is calculated based on a configurable Risk:Reward ratio
🔼 Buy Signal Conditions
- The previous candle must close below the lower Bollinger Band, and its entire body must be below the band
- The current candle must fail to break the previous low, and must break above the previous high
- Entry is at the previous candle’s high, with SL at its low
- Target is calculated using the same Risk:Reward ratio
⏰ Time-Based Exit
- If a trade is still active by a user-defined exit time (e.g. 15:15), the trade is closed
- Labels are plotted to show whether this exit was a profit or loss
🧩 User Inputs
- Start Time for signals
- Exit Time for open trades
- Bollinger Band Settings: Period and Std Dev
- Max Entries Per Day
- Risk:Reward Ratio: Dropdown for 1:1, 1:1.5, ..., 1:3
🎨 Visual Features
✅ BUY and SELL signals are plotted when valid conditions are detected
🟢 TP and 🔴 SL labels show trade outcome
🕒 TIME EXIT labels appear at user-set exit time with green/red coloring based on profitability
📉 Bollinger Bands plotted for visual context
📌 Notes:
- Designed for intraday trading, resets entry counter daily
- Uses bar_index > tradeBarIndex to avoid SL/TP being triggered on the same candle as entry
- Tracks only one trade at a time (tradeActive) — ensures clear, non-overlapping logic
Futuristic Trend PredictorAI-based trend predictor. converting it to a strategy for backtesting. thanks.
Correlation Coefficient TableThis Pine Script generates a dynamic table for analyzing how multiple assets correlate with a chosen benchmark (e.g., NZ50G). Users can input up to 12 asset symbols, customize the benchmark, and define the beta calculation periods (e.g., 15, 30, 90, 180 days). The script calculates Correlation values for each asset over these periods and computes the average beta for better insights.
The table includes:
Asset symbols: Displayed in the first row.
Correlation values: Calculated for each defined period and displayed in subsequent columns.
Average Correlation: Presented in the final column as an overall measure of correlation strength.
Color coding: Background colors indicate beta magnitude (green for high positive beta, yellow for near-neutral beta, red for negative beta).
Exchange PrefixAllows users to show the exchange name of your currently-viewed ticker on the latest bars.
For example, viewing BTCUSDT on BINANCE would provide "BINANCE".
Similarly, viewing BTCUSDT on CRYPTO.COM would provide "CRYPTOCOM".
What is the purpose of this?
- Sometimes pine script coders would like to know the exact names of the exchanges. This script does the job.
Short Selling DetectionExplanation of Candlestick Patterns:
Bearish Engulfing:
The previous candle is bullish (close > open), and the current candle is bearish (close < open).
The current candle's open is higher than the previous candle's close, and the current candle's close is lower than the previous candle's open.
Shooting Star:
The current candle is bearish (close < open).
The difference between the high and close is more than twice the difference between the open and close, and the close is above the low.
Dark Cloud Cover:
The current candle is bearish (close < open).
The close is below half the previous candle's body (open - (high - low) * 0.5).
The Shooting Star and Dark Cloud Cover patterns were manually defined as well.
You can set alerts based on the "Short Selling Signal" condition, which will notify you of potential short-selling opportunities.
Hyperliquid ConnectorThis template can automate your Tradingview strategy on Hyperliquid's decentralized exchange.
EMA 10/55/200 - LONG ONLY MTF (4h with 1D & 1W confirmation)Title: EMA 10/55/200 - Long Only Multi-Timeframe Strategy (4h with 1D & 1W confirmation)
Description:
This strategy is designed for trend-following long entries using a combination of exponential moving averages (EMAs) on the 4-hour chart, confirmed by higher timeframe trends from the daily (1D) and weekly (1W) charts.
🔍 How It Works
🔹 Entry Conditions (4h chart):
EMA 10 crosses above EMA 55 and price is above EMA 55
OR
EMA 55 crosses above EMA 200
OR
EMA 10 crosses above EMA 500
These entries indicate short-term momentum aligning with medium/long-term trend strength.
🔹 Confirmation (multi-timeframe alignment):
Daily (1D): EMA 55 is above EMA 200
Weekly (1W): EMA 55 is above EMA 200
This ensures that we only enter long trades when the higher timeframes support an uptrend, reducing false signals during sideways or bearish markets.
🛑 Exit Conditions
Bearish crossover of EMA 10 below EMA 200 or EMA 500
Stop Loss: 5% below entry price
⚙️ Backtest Settings
Capital allocation per trade: 10% of equity
Commission: 0.1%
Slippage: 2 ticks
These are realistic conditions for crypto, forex, and stocks.
📈 Best Used On
Timeframe: 4h
Instruments: Trending markets like BTC/ETH, FX majors, or growth stocks
Works best in volatile or trending environments
⚠️ Disclaimer
This is a backtest tool and educational resource. Always validate on demo accounts before applying to real capital. Do your own due diligence.
LCSEMALong candle + Stoch + Ema (sonrau)
Buy: Green arrow appears, price is above ema.
Sell : Red arrow appears, price is below ema
Daily Break IndicatorThis indicator shows the daily trading. This is useful when back testing. To be aware of the end and the start of the day especially UTC +8 Time Zones.
Cartera SuperTrends v4 PublicDescription
This script creates a screener with a list of ETFs ordered by their average ROC in three different periods representing 4, 6 and 8 months by default. The ETF
BIL
is always included as a reference.
The previous average ROC value shows the calculation using the closing price from last month.
The current average ROC value shows the calculation using the current price.
The previous average column background color represents if the ETF average ROC is positive or negative.
The current average column background color represents if the ETF average ROC is positive or negative.
The current average column letters color represents if the current ETF average ROC is improving or not from the previous month.
Changes from V2 to V3
Added the option to make the calculation monthly, weekly or daily
Changes from V3 to V4
Adding up to 25 symbols
Highlight the number of tickers selected
Highlight the sorted column
Complete refactor of the code using a matrix of arrays
Options
The options available are:
Make the calculation monthly, weekly or daily
Adjust Data for Dividends
Manual calculation instead of using ta.roc function
Sort table
Sort table by the previous average ROC or the current average ROC
Number of tickers selected to highlight
First Period in months, weeks or days
Second Period in months, weeks or days
Third Period in months, weeks or days
Select the assets (max 25)
Usage
Just add the indicator to your favorite indicators and then add it to your chart.
SMA Area ColorThis indicator plots two user‐selectable Simple Moving Averages (SMAs) on your chart and then fills the space between them with different colors based on whether the shorter SMA is above or below the longer SMA, and whether the current price is above or below that shorter SMA. This color‐coded background quickly highlights bullish or bearish shifts, making it easier to see changes in trend or momentum at a glance.
ML Deep Regression Pro (TechnoBlooms)ML Deep Regression Pro is a machine-learning-inspired trading indicator that integrates Polynomial Regression, Linear Regression and Statistical Deviation models to provide a powerful, data-driven approach to market trend analysis.
Designed for traders, quantitative analysts and developers, this tool transforms raw market data into predictive trend insights, allowing for better decision-making and trend validation.
By leveraging statistical regression techniques, ML Deep Regression Pro eliminates market noise and identifies key trend shifts, making it a valuable addition to both manual and algorithmic trading strategies.
REGRESSION ANALYSIS
Regression is a statistical modeling technique used in machine learning and data science to identify patterns and relationships between variables. In trading, it helps detect price trends, reversals and volatility changes by fitting price data into a predictive model.
1. Linear Regression -
The most widely used regression model in trading, providing a best-fit plotted line to track price trends.
2. Polynomial Regression -
A more advanced form of regression that fits curved price structures, capturing complex market cycles and improving trend forecasting accuracy.
3. Standard Deviation Bands -
Based on regression calculations, these bands measure price dispersion and identify overbought/ oversold conditions, similar to Bollinger Bands. By default, these lines are hidden and user can make it visible through Settings.
KEY FEATURES :-
✅ Hybrid Regression Engine – Combines Linear and Polynomial Regression to detect market trends with greater accuracy.
✅ Dynamic Trend Bias Analysis – Identifies bullish & bearish market conditions using real-time regression models.
✅ Standard Deviation Bands – Measures price volatility and potential reversals with an advanced deviation model.
✅ Adaptive EMA Crossover Signals – Generates buy/sell signals when price momentum shifts relative to the regression trend.
IU Smart Flow SystemDESCRIPTION
The IU Smart Flow System is a powerful and dynamic order flow-based strategy designed to capture high-probability trades by analyzing bullish and bearish imbalances, trend direction, and RSI strength. It identifies trading opportunities by aligning order flow conditions with the prevailing trend and momentum, making it suitable for trend-following and momentum-based trading.
This system utilizes a unique combination of:
- Order flow score to gauge market imbalance
- Trend filter using SMA and ATR to confirm market direction
- RSI to ensure entry only during strong momentum
USER INPUTS:
- Imbalance Length: Defines the lookback period for calculating bullish and bearish imbalances. (Default: 10)
- Trend Length: Determines the length of the SMA to evaluate the trend direction. (Default: 50)
- RSI Length: Specifies the RSI period to assess momentum strength. (Default: 14)
LONG CONDITIONS:
Long entries are triggered when:
- Order flow score is positive, indicating bullish imbalance
- Price is above the bullish trend level (SMA + ATR), confirming an uptrend
- RSI is above 50, indicating bullish momentum
- No active short position is currently open
SHORT CONDITIONS:
Short entries are triggered when:
- Order flow score is negative, indicating bearish imbalance
- Price is below the bearish trend level (SMA - ATR), confirming a downtrend
- RSI is below 50, indicating bearish momentum
- No active long position is currently open
WHY IT IS UNIQUE:
- Imbalance-Based Approach: Unlike traditional strategies that rely solely on price action, this system evaluates bullish and bearish imbalances to anticipate order flow direction.
- Adaptive Trend Filter: The combination of SMA and ATR dynamically adjusts to market volatility, providing a reliable trend confirmation mechanism.
- Momentum Validation with RSI: Ensures that entries are taken only in the direction of strong momentum, reducing false signals.
HOW USERS CAN BENEFIT FROM IT:
- Enhanced Trade Accuracy: Aligning order flow, trend, and momentum reduces false signals and improves trade success rates.
- Versatile Application: Suitable for various markets and timeframes, making it adaptable to different trading styles.
- Clear Trade Signals: Provides clear entry labels and alerts, ensuring traders never miss a potential opportunity.
- Visual Clarity: The filled region between bullish and bearish trends highlights trend direction, enhancing decision-making.