FOMO_Buy_Sell_IndicatorBuy and sell indicator that fits everyone's needs.
For noobs - You can use it even if you are not TA friendly. Green is buy and Red is sell.
For pros - It helps you second guess your ins and outs.
PM to gain access, please. Thanks
在腳本中搜尋"Buy sell"
Mendy's Impulse SystemThis is an adaptation of Elder's Impulse System.
In Elder's Impulse System, he makes use of a MACD and an Exponential Moving Average (EMA) as censors in his buy or sell decisions. If both the direction of the MACD-Histogram and the EMA's slopes are upward, the censor gives him the permission to buy. If both of their directions are downward, the censor gives a permission to sell. If one is sloping upward and the other downward, the censor gives a blue signal, and depending on context, either a buy or sell signal, or better yet a hold signal.
First, this new indicator takes the idea a step further by using the Arnaud Legoux Moving Average (ALMA) in lieu of an Exponential Moving Average in the computation of the MACD line. The ALMA was designed to be more responsive to changes in price, so the idea here is that the responsiveness will give more reliable buy or sell signals vs. the usual MACD.
Next, in Elder's original Impulse System, he makes use of the direction of the EMA (usually 13-period) to complement the MACD indicator he's using. In the new indicator, instead of using one EMA, two EMAs are used, one fast and another slow. The slow and fast EMAs are usually used to indicate the trend of the security being traded: a fast EMA above the slow EMA indicates an uptrend, while the reverse shows a downtrend. That being said, what replaces the function of Elder's EMA is not the fast and slow EMA, but the difference between the two: A positive value indicates an uptrend, while a negative value indicates a downtrend.
Third, the color signals generated by this new indicator does not make use of the value of ALMACD-Histogram and the EMA Difference. Rather, it uses the Rate of Change of both the value of the ALMACD-H and the EMA Difference compared to their previous day values. This decision stems from my issues with charting, because when you look at a chart spanning a large period of time, some periods have big price swings that causes the indicators of that period to have big values. Those big values then causes the chart to auto-adjust values, which makes the rest of the values within the indicator shrink. You can be fooled into thinking that a positive MACD-H signal has no momentum because it looks little compared to the huge histogram a few periods before that.
Therefore, my solution to that is to track the change of these values instead. By tracking the Rate of Change of these values, you can see if the indicator is losing momentum. When the Rate of Change shows a negative value, it means that the indicator is sloping downward, and if it shows a positive value, then it means the indicator is sloping upward. In this context, this indicator can be considered an oscillator as well. A positive consequence of this is that when the value of the Rate of Change crosses the zero line, it indicates the earliest point in which you can enter a buy/sell position. Following Elder's idea of indicator seasons, crossing the zero line indicates either the start of Spring or the start of Autumn.
All in all, this new indicator generates three colors, similar to Elder's Impulse System: Red, Blue, Green. The indicator will return a Red color when both the ALMACD-Histogram and EMA Difference's Rate of Change is negative. The indicator will return a Blue color if one of them is sloping downward and the other upward. The indicator will return a Green color if both the ALMACD-H and EMA DIfference's Rate of Change is positive.
Finally, this indicator will overlay the color signals over the bars/candles, as well as show you the ALMACD-Histogram and EMA Difference.
I hope you find this indicator useful. Happy trading.
Special thanks to Samuel16 for his code on Elder's Impulse System, and Sclark39 for his code on Arnaud Legoux MACD.
Crypto Signals Bot - AutoTrader IndicatorVery excited to release our new fully automated trading bot specifically for Bitcoin.
We use this system with AutoView to trade on Bitmex and it is specifically designed for Bitcoin on the 2 Hour charts.
It includes everything you will need:
AutoTrader Strategy
AutoTrader Indicator
All Alerts Syntax for AutoView
This has been producing amazing results and is a fully automated trading system that will take buys (long) and sells (short) on Bitcoin with supported crypto exchanges.
To signup, go to this URL: www.cryptosignalsbot.com
[STUDY] CypherCore Trading Suite
Rerband. Now a STUDY script.
- RSI overlay indicators (diamond shapes)
- Most commonly used MA types( i.e. SMA , EMA , WMA , VWMA , ZEMA )
- Bands
- Price Action Indicator (color coordinated)
color code:
yellow --- inside bars (breakout)
blue --- outside bars (breakout)
green --- up pin bars (reversal)
red --- down pin bars (reversal)
fuchsia --- down shaved bars (selling pressure, selling likely to continue)
aqua --- up shaved bars (buying pressure, buying likely to continue)
- Reversal candlestick patterns (only a few for now)
- Two strategies for determining buy/sell signals
1. buy/sell signals determined by EMAs crossover (better for position or swing trades)
2. buy/sell signals determined by MAs crossover (better for scalping)
03/02/2017
- Switched to STUDY
- Fractals added
- Alerts now fully working
- New "Input" menu
Buy/Sell signals are NOT financial advice.
CMYK RMI ARROWS◊ Introduction
I started using this script because of its fast reaction, and good tell for buy/sell moments.
For larger timescales, the overall trend should be taken into account regarding the levels.
In the future i will update this indicator, to automatically adjust those.
This is the Overlay expansion of the Indicator Linked below.
◊ Origin
The Relative Momentum Index was developed by Roger Altman and was introduced in his article in the February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother.
◊ Adjustments
CMYK color theme applied.
Four levels to indicate intensity.
Two Timescales, to overview the broader trend, and fast movements.
◊ Usage
RMI indicates overbought and oversold zones, and can be used for divergence and trend analysis.
◊ Future Prospects
Self adjusting levels, relative to an SMA trend.
Alternative RMI, which functions as an overlay.
◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊
░▒▓█ CMYK ◊ RMI █▓▒░
Trend-following Microprofit w/ Smart DCA + Profit Plot + AlertsThis alert script is oriented towards automated trading with Gunbot.
I call it "Options Galore" because of all the user-configurable settings it offers for up-trending and down-trending markets. (See: " Market Tone " study).
A strategy script for quantitative backtesting, smarter buy/sell indicator such as TSI or Stoch RSI, and stop loss/trailing stop are all in the pipeline. Please share any other suggestions in the comments!
Features:
Set backtesting range, or start forward testing from the current time. Historical Renko charts can lead to repainting, which is avoided by keeping the chart open in your browser and running with real time data.
Average protection: only buy if price drops by a certain % below your average price -- can be automatically toggled by market trender if we want to continue buying during an uptrend. This reduces net profit but increases gross profit.
Gain protection: only sell if price is a certain % above your average price -- can be automatically toggled by market trender. Wait for larger profits in an uptrend, but sell earlier in a down trend.
Minimum percent gain can also be set to a negative value to allow selling at a loss. This is not true stop loss behavior, we still need a sell signal from the indicator. This means we will try to get the best price above your price floor, but in some rare situations we may not sell before the price drops below your price floor.
Position plotter: plots average long position price relative to current price.
Plot loss level: plots average price - loss %. With pyramiding turned off, this can be used to find out where to set your stop loss.
This script is free to use, just comment or PM for access. It is mainly meant to showcase some new features, and is only safe to use in carefully selected markets such as USDT-BTC.
Stay posted for upcoming scripts with smarter signaling and additional features! If you would like to add these features to your own preferred strategy, please PM me.
Gunbot MACDgenOk this is just some strat based on MACD, checking for a few conditions until giving buy/sell signals to Gunbot via alerts.
It is generalized but if you want to go play with the values. I will continue to develop this further and am happy to receive feedback.
Notations are coming.
Usage notes:
-ONLY use this with TV_GAIN: 0.6 because on downtrends it is supposed to double up to pull down the average bought price!
-Use "buying condition" and "selling condition" for alerts, trigger on close and I suggest you use 3 min intervals but try what looks good to you
-Use this on pairs that are curvy and have atleast 0.6% gain between buy/sell triggers. This is also general advise when you want to take microprofits.
-Don't be confused with sell arrows, it will only trigger the bot sell on gain when you've set TV_GAIN
Magic CirclesMagic Circles give buy and sell signals. Works best at trending markets. When using lower time frames, it is beneficial to confirm the signals with a 4H chart.
Stock Market Trend Analysis Trading System 101 (by ChartArt)This is a very simple trading system which is measuring the core of uptrends and downtrends using three basic elements: Close price, HL2 price, Pivot price.
Depending if the uptrend or downtrend is strong, the buy/sell signals are shown in different colors. The stronger trends are in brighter colors (lime and fuchsia). If the trend just fully changed direction from uptrend to downtrend (or vice versa), there is a background color highlight in the color of the new trend direction.
The trend detection should work best on monthly charts. I have created this in under an hour. My goal was to use the least amount of rules possible, therefore there are many false signals and the code is quite lazy.
You can lose all your money if you rely on these buy/sell signals!
Scalp EA for 15 Minute Timeframes and HigherSo I have written this indicator based upon the percentages of the High and the Low of the candlestick with respect to the open price. This indicator by no means tries to find top's and bottom's;however, it does find good opportunities for 5-20 pips reversals or continuations. The signal is provided without delay and should only be based upon the closing of the candle. For example, at open- the indicator will tell you "buy, sell, or remain flat" but you should only buy or sell when the candle has completely closed.
Choose whether to use it for scalps, or to set up larger trades with bigger time frames and support or resistance zones.
*Warning*- This is untested and will remain untested due my unavailability.
Reason behind the coding: As I trader, I like to think that I am always "buying low and selling high"or "selling high and buying low". Throughout my trading experiences, I can tell you that I have done the opposite many times. This indicator helps me in finding opportunities as I have written it to always Sell at the closing price of a green candle and always to buy at the close of a red candle. The indicator makes the attempt to Sell High and Buy Low.
MACD Full [Titans_Invest]MACD Full — A Smarter, More Flexible MACD.
Looking for a MACD with real customization power?
We present one of the most complete public MACD indicators available on TradingView.
It maintains the classic MACD structure but is enhanced with 20 fully customizable long entry conditions and 20 short entry conditions , giving you precise control over your strategy.
Plus, it’s fully automation-ready, making it ideal for quantitative systems and algorithmic trading.
Whether you're a discretionary trader or a bot developer, this tool is built to seamlessly adapt to your style.
⯁ WHAT IS THE MACD❓
The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram.
⯁ HOW TO USE THE MACD❓
The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line.
Here are the primary signals generated by the MACD:
Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal.
Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal.
Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal.
Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI.
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
______________________________________________________
🔹 CONDITIONS TO BUY 📈
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 MACD > Signal Smoothing
🔹 MACD < Signal Smoothing
🔹 Histogram > 0
🔹 Histogram < 0
🔹 Histogram Positive
🔹 Histogram Negative
🔹 MACD > 0
🔹 MACD < 0
🔹 Signal > 0
🔹 Signal < 0
🔹 MACD > Histogram
🔹 MACD < Histogram
🔹 Signal > Histogram
🔹 Signal < Histogram
🔹 MACD (Crossover) Signal
🔹 MACD (Crossunder) Signal
🔹 MACD (Crossover) 0
🔹 MACD (Crossunder) 0
🔹 Signal (Crossover) 0
🔹 Signal (Crossunder) 0
______________________________________________________
______________________________________________________
🔸 CONDITIONS TO SELL 📉
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 MACD > Signal Smoothing
🔸 MACD < Signal Smoothing
🔸 Histogram > 0
🔸 Histogram < 0
🔸 Histogram Positive
🔸 Histogram Negative
🔸 MACD > 0
🔸 MACD < 0
🔸 Signal > 0
🔸 Signal < 0
🔸 MACD > Histogram
🔸 MACD < Histogram
🔸 Signal > Histogram
🔸 Signal < Histogram
🔸 MACD (Crossover) Signal
🔸 MACD (Crossunder) Signal
🔸 MACD (Crossover) 0
🔸 MACD (Crossunder) 0
🔸 Signal (Crossover) 0
🔸 Signal (Crossunder) 0
______________________________________________________
______________________________________________________
🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
______________________________________________________
______________________________________________________
⯁ UNIQUE FEATURES
______________________________________________________
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
______________________________________________________
📜 SCRIPT : MACD Full
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Gold Buy/Sell Signals with Engulfing & S&D ZonesTrade base on the Fast & Slow Moving Average. When the Fast MA line is below the candle, it is an uptrend to BUY. if Fast MA line is above the candle, it's time to SELL.
OBV + Momentum + DI+ Dashboard 📊 Script Description: OBV + Momentum + DI+ Dashboard
This custom TradingView indicator combines three powerful technical analysis tools—On-Balance Volume (OBV), Momentum (ROC), and Directional Movement Index (+DI)—into a single, easy-to-read dashboard.
🔍 Key Features:
✅ Buy & Sell Signals
Plots signals on the chart when multiple conditions align:
Buy Signal: Bullish candle + Rising OBV + Positive Momentum + Strong +DI
Sell Signal: Bearish candle + Falling OBV + Negative Momentum + Weak +DI
✅ Dashboard Panel (Top Center)
A real-time dashboard displays key market conditions:
Price Action (Bullish, Bearish, or Neutral)
OBV Trend (Rising, Falling, or Flat)
Momentum (Rising, Falling, or Flat)
+DI Strength (Strong, Weak, or Neutral)
✅ Visual Enhancements
Color-coded trends for quick interpretation.
Compact table view in the center top of the chart.
📈 Technical Indicators Used:
OBV (On-Balance Volume): Measures buying/selling pressure via volume.
Momentum (Rate of Change): Detects acceleration/deceleration in price movement.
+DI from DMI/ADX: Indicates the strength of the uptrend.
This tool is ideal for momentum traders, volume analysts, and those who prefer a confluence-based trading approach. Use it on any time frame or asset to help confirm entries and exits with greater confidence.
Smart Money Concepts [PF]What is SMC in Trading?
SMC stands for Smart Money Concepts — a trading methodology that focuses on understanding and following the actions of institutional traders, often referred to as "smart money" (e.g., banks, hedge funds, and large financial institutions).
Instead of relying on traditional indicators (like RSI or MACD), SMC aims to read price action and market structure to identify where institutions are likely placing or manipulating orders.
🔑 Key Concepts in SMC:
Order Blocks – Areas on the chart where institutions placed large buy or sell orders.
Liquidity – Zones where many retail stop-losses are placed; institutions often target these.
Break of Structure (BOS) – A market structure shift that suggests a potential trend reversal or continuation.
Mitigation – When price returns to an order block to "fill" or mitigate unfilled institutional orders.
Fair Value Gap (FVG) – Gaps between candles that show imbalances in buying/selling pressure.
Heikin-Ashi Mean Reversion Oscillator [Alpha Extract]The Heikin-Ashi Mean Reversion Oscillator combines the smoothing characteristics of Heikin-Ashi candlesticks with mean reversion analysis to create a powerful momentum oscillator. This indicator applies Heikin-Ashi transformation twice - first to price data and then to the oscillator itself - resulting in smoother signals while maintaining sensitivity to trend changes and potential reversal points.
🔶 CALCULATION
Heikin-Ashi Transformation: Converts regular OHLC data to smoothed Heikin-Ashi values
Component Analysis: Calculates trend strength, body deviation, and price deviation from mean
Oscillator Construction: Combines components with weighted formula (40% trend strength, 30% body deviation, 30% price deviation)
Double Smoothing: Applies EMA smoothing and second Heikin-Ashi transformation to oscillator values
Signal Generation: Identifies trend changes and crossover points with overbought/oversold levels
Formula:
HA Close = (Open + High + Low + Close) / 4
HA Open = (Previous HA Open + Previous HA Close) / 2
Trend Strength = Normalized consecutive HA candle direction
Body Deviation = (HA Body - Mean Body) / Mean Body * 100
Price Deviation = ((HA Close - Price Mean) / Price Mean * 100) / Standard Deviation * 25
Raw Oscillator = (Trend Strength * 0.4) + (Body Deviation * 0.3) + (Price Deviation * 0.3)
Final Oscillator = 50 + (EMA(Raw Oscillator) / 2)
🔶 DETAILS Visual Features:
Heikin-Ashi Candlesticks: Smoothed oscillator representation using HA transformation with vibrant teal/red coloring
Overbought/Oversold Zones: Horizontal lines at customizable levels (default 70/30) with background highlighting in extreme zones
Moving Averages: Optional fast and slow EMA overlays for additional trend confirmation
Signal Dashboard: Real-time table showing current oscillator status (Overbought/Oversold/Bullish/Bearish) and buy/sell signals
Reference Lines: Middle line at 50 (neutral), with 0 and 100 boundaries for range visualization
Interpretation:
Above 70: Overbought conditions, potential selling opportunity
Below 30: Oversold conditions, potential buying opportunity
Bullish HA Candles: Green/teal candles indicate upward momentum
Bearish HA Candles: Red candles indicate downward momentum
MA Crossovers: Fast EMA above slow EMA suggests bullish momentum, below suggests bearish momentum
Zone Exits: Price moving out of extreme zones (above 70 or below 30) often signals trend continuation
🔶 EXAMPLES
Mean Reversion Signals: When the oscillator reaches extreme levels (above 70 or below 30), it identifies potential reversal points where price may revert to the mean.
Example: Oscillator reaching 80+ levels during strong uptrends often precedes short-term pullbacks, providing profit-taking opportunities.
Trend Change Detection: The double Heikin-Ashi smoothing helps identify genuine trend changes while filtering out market noise.
Example: When oscillator HA candles change from red to teal after oversold readings, this confirms potential trend reversal from bearish to bullish.
Moving Average Confirmation: Fast and slow EMA crossovers on the oscillator provide additional confirmation of momentum shifts.
Example: Fast EMA crossing above slow EMA while oscillator is rising from oversold levels provides strong bullish confirmation signal.
Dashboard Signal Integration: The real-time dashboard combines oscillator status with directional signals for quick decision-making.
Example: Dashboard showing "Oversold" status with "BUY" signal when HA candles turn bullish provides clear entry timing.
🔶 SETTINGS
Customization Options:
Calculation: Oscillator period (default 14), smoothing factor (1-50, default 2)
Levels: Overbought threshold (50-100, default 70), oversold threshold (0-50, default 30)
Moving Averages: Toggle display, fast EMA length (default 9), slow EMA length (default 21)
Visual Enhancements: Show/hide signal dashboard, customizable table position
Alert Conditions: Oversold bounce, overbought reversal, bullish/bearish MA crossovers
The Heikin-Ashi Mean Reversion Oscillator provides traders with a sophisticated momentum tool that combines the smoothing benefits of Heikin-Ashi analysis with mean reversion principles. The double transformation process creates cleaner signals while the integrated dashboard and multiple confirmation methods help traders identify high-probability entry and exit points during both trending and ranging market conditions.
Buysell Martingale Signal - CustomBuysell Martingale Signal - Custom Indicator
Introduction:
This indicator provides a dynamic buy and sell signal system incorporating an adaptive Martingale logic. Built upon the signalLib_yashgode9/2 library, it is designed for use across various markets and timeframes.
Key Features:
Primary Buy & Sell Signals: Identifies initial buy and sell opportunities based on directional changes derived from the signalLib.
Martingale Signals:
For Short (Sell) Positions: A Martingale Sell signal is triggered when the price moves against the existing short position by a specified stepPercent from the last entry price, indicating a potential opportunity to average down or increase position size.
For Long (Buy) Positions: Similarly, a Martingale Buy signal is triggered when the price moves against the existing long position by a stepPercent from the last entry price.
On-Chart Labels: Displays clear, customizable labels on the chart for primary Buy, Sell, Martingale Buy, and Martingale Sell signals.
Customizable Colors: Allows users to set distinct colors for primary signals and Martingale signals for better visual distinction.
Adjustable Sensitivity: Features configurable parameters (DEPTH_ENGINE, DEVIATION_ENGINE, BACKSTEP_ENGINE) to fine-tune the sensitivity of the underlying signal generation.
Webhook Support (Static Message Alerts): This indicator provides alerts with static messages for both primary and Martingale buy/sell signals. These alerts can be leveraged for automation by external systems (such as trading bots or exchange-provided Webhook Signal Trading services).
Important Note: When using these alerts for automation, an external system is required to handle the complex Martingale logic and position management (e.g., tracking steps, PnL calculation, hedging, dynamic quantity sizing), as this indicator solely focuses on signal generation and sending predefined messages.
How to Use:
Add the indicator to your desired chart.
Adjust the input parameters in the indicator's settings to match your specific trading symbol and timeframe.
For automation, you can set up TradingView alerts for the Buy Signal (Main/Martingale) and Sell Signal (Main/Martingale) conditions, pointing them to your preferred Webhook URL.
Configurable Parameters:
DEPTH_ENGINE: (e.g., 30) Controls the depth of analysis for the signal algorithm.
DEVIATION_ENGINE: (e.g., 5) Defines the allowable deviation for signal generation.
BACKSTEP_ENGINE: (e.g., 5) Specifies the number of historical bars to look back.
Martingale Step Percent: (e.g., 0.5) The percentage price movement against the current position that triggers a Martingale signal.
Labels Transparency: Adjusts the transparency of the on-chart signal labels.
Buy-Color / Sell-Color: Sets the color for primary Buy and Sell signal labels.
Martingale Buy-Color / Martingale Sell-Color: Sets the color for Martingale Buy and Sell signal labels.
Label size: Controls the visual size of the labels.
Label Offset: Adjusts the vertical offset of the labels from the candlesticks.
Risk Warning:
Financial trading inherently carries significant risk. Martingale strategies are particularly high-risk and can lead to substantial losses or even complete liquidation of capital if the market moves strongly and persistently against your position. Always backtest thoroughly and practice with a demo account, fully understanding the associated risks, before engaging with real capital.
Dr Avinash Talele momentum indicaterTrend and Volatility Metrics
EMA10, EMA20, EMA50:
Show the percentage distance of the current price from the 10, 20, and 50-period Exponential Moving Averages.
Positive values indicate the price is above the moving average (bullish momentum).
Negative values indicate the price is below the moving average (bearish or corrective phase).
Use: Helps traders spot if a stock is extended or pulling back to support.
RVol (Relative Volume):
Compares current volume to the 20-day average.
Positive values mean higher-than-average trading activity (potential institutional interest).
Negative values mean lower activity (less conviction).
Use: High RVol often precedes strong moves.
ADR (Average Daily Range):
Shows the average daily price movement as a percentage.
Use: Higher ADR = more volatility = more trading opportunities.
50D Avg. Vol & 50D Avg. Vol ₹:
The 50-day average volume (in millions) and value traded (in crores).
Use: Confirms liquidity and suitability for larger trades.
ROC (Rate of Change) Section
1W, 1M, 3M, 6M, 12M:
Show the percentage price change over the last 1 week, 1 month, 3 months, 6 months, and 12 months.
Positive values (green) = uptrend, Negative values (red) = downtrend.
Use: Quickly see if the stock is gaining or losing momentum over different timeframes.
Momentum Section
1M, 3M, 6M:
Show the percentage gain from the lowest price in the last 1, 3, and 6 months.
Use: Measures how much the stock has bounced from recent lows, helping find strong rebounds or new leaders.
52-Week High/Low Section
From 52WH / From 52WL:
Show how far the current price is from its 52-week high and low, as a percentage.
Closer to 52WH = strong uptrend; Closer to 52WL = possible value or turnaround setup.
Use: Helps traders identify stocks breaking out to new highs or rebounding off lows.
U/D Ratio
U/D Ratio:
The ratio of up-volume to down-volume over the last 50 days.
Above 1 = more buying volume (bullish), Below 1 = more selling volume (bearish).
Use: Confirms accumulation or distribution.
How This Table Helps Analysts and Traders
Instant Trend Assessment:
With EMA distances and ROC, analysts can instantly see if the stock is trending, consolidating, or reversing.
Momentum Confirmation:
ROC and Momentum sections highlight stocks with strong recent moves, ideal for momentum and breakout traders.
Liquidity and Volatility Check:
Volume and ADR ensure the stock is tradable and has enough price movement to justify a trade.
Relative Positioning:
52-week high/low stats show whether the stock is near breakout levels or potential reversal zones.
Volume Confirmation:
RVol and U/D ratio help confirm if moves are backed by real buying/selling interest.
Actionable Insights:
By combining these metrics, traders can filter for stocks with strong trends, robust momentum, and institutional backing—ideal for swing, position, or even intraday trading.
Algo BOT 3.0Algo BOT 3.0 is a sophisticated, rule-based intraday trading strategy designed for index option traders who seek high-probability entries based on market structure, institutional zones, and controlled risk management. This strategy intelligently identifies BUY and SELL trade opportunities using price action, Fibonacci retracements, and pivot confluences, layered with dynamic trade management through trailing stop loss (TSL) and predefined profit/loss thresholds.
🔍 Strategic Foundation
Algo BOT 3.0 combines multiple proven intraday trading concepts into a single unified system:
Candle Behavior Analysis:
Detects strong green (bullish) and red (bearish) candles based on configurable range filters, wick/body ratios, and volume-backed movement.
Ensures only impactful candles are considered for signal generation, filtering out noise.
Dynamic Candle Range Filtering:
Filters out low-momentum candles by comparing their range against a dynamically calculated threshold (based on recent 30-minute close).
Prevents premature or weak entries by focusing on high-volatility structures.
Fibonacci Entry Zones:
Automatically calculates 0.382 and 0.618 Fibonacci levels between the most recent key candles (highest green & lowest red).
These fib levels are used to define entry zones for BUY (above red fib 0.382) and SELL (below green fib 0.382).
Optional fib zones can be visually shown on the chart with real-time drawing.
📈 Signal Generation Logic
The core BUY/SELL signals are triggered based on a combination of:
Green/Red Candle Identification:
A green candle qualifies if:
Open is near the bottom 38.2% of its range.
Close is above the top 61.8% of the range.
High is above a pivot or institutional level.
A red candle qualifies if:
Open is near the top 38.2% of its range.
Close is below the bottom 61.8% of the range.
Low is below a pivot or institutional level.
Support/Resistance Touch Confirmation:
Signals are only considered valid if the qualifying candle touches:
CPR Top/Bottom
Daily Pivot Points (PP, R1–R4, S1–S4)
VWAP or MVWAP
CE Entry (BOT BUY):
Occurs when the price crosses above red fib 0.382 after red candle touch at support.
PE Entry (BOT SELL):
Occurs when the price crosses below green fib 0.382 after green candle touch at resistance.
Signal Controls:
Only one active signal per type (BUY/SELL) at a time.
Real-time tracking of active trade with condition-based resets.
🎯 Exit Management
Built-in risk and profit control with dynamic logic:
Trailing Stop Loss (TSL):
TSL is dynamically adjusted based on peak price after entry.
Trail distance is customizable via input (% below peak).
Visual alerts notify when TSL is hit.
Profit Target:
Trade exits automatically when desired % profit is achieved from entry.
Loss Limit:
Trade exits immediately if unrealized loss exceeds a set % threshold.
Helps prevent large drawdowns during volatile market moves.
🧠 Technical Indicator Integration
To enhance trade accuracy, the strategy includes several optional filters:
RSI: Momentum confirmation or divergence filtering.
SMA/EMA: Trend direction confirmation.
MVWAP: Modified VWAP for smoother institutional bias tracking.
🖼️ Visuals & Alerts
BOT BUY and BOT SELL Signal Labels appear directly on the chart with trade type and candle reference.
TSL, Target, and SL Exits shown as label markers with optional background highlight.
Live Alerts:
BOT BUY (CE Entry)
BOT SELL (PE Entry)
Trailing Stop Loss Triggered
Profit Target Hit
Stop Loss Triggered
⚙️ Customizable Settings
Users can fine-tune the strategy using the following input options:
MVWAP Length
RSI / SMA / EMA Lengths
Candle Range Sensitivity
TSL Distance (%)
Profit Target (%)
Loss Limit (%)
Enable/Disable Background Highlights & Labels
Display Fib Zones
⏱️ Best Use Case & Timeframes
Malama's big MACDPurpose: Malama's Big MACD is a multi-faceted Pine Script indicator designed for traders on short timeframes (1-5 minute charts) to identify high-probability trading opportunities. It combines a Stochastic Price Predictor (SPP) with a comprehensive set of technical indicators, including MACD, RSI, moving average crossovers, ATR, volume spikes, and a custom JKH RSI, to generate robust buy and sell signals. The indicator aims to solve the problem of filtering out market noise in fast-moving markets by integrating probability-based predictions with traditional technical analysis, providing traders with clear entry/exit signals, trend visualization, and risk management levels.
Originality and Usefulness
This script is a unique mashup of a Stochastic Price Predictor (SPP) and a comprehensive indicator suite, tailored for short-term trading. The SPP uses a Monte Carlo simulation combined with ATR and Stochastic RSI to forecast price movements, while the comprehensive indicator suite leverages MACD crossovers, RSI overbought/oversold conditions, moving average crossovers, volume spikes, and a custom JKH RSI for confirmation. Unlike standalone MACD or RSI indicators available in TradingView’s public library, this script’s originality lies in its hybrid approach, blending probabilistic forecasting with multiple confirmatory signals to enhance reliability. The integration of user-defined sentiment input and customizable risk management levels further differentiates it from generic open-source alternatives, making it particularly useful for scalpers and day traders seeking precise, actionable signals.
How It Works
The script operates in two primary modules: the Stochastic Price Predictor (SPP) and the Comprehensive Indicator Suite, which work together to generate and confirm trading signals. Signal strength is calculated to quantify the confidence of bullish or bearish conditions.
Stochastic Price Predictor (SPP):
Core Logic: The SPP forecasts price movements using a Monte Carlo simulation based on historical returns, ATR-based volatility, and Stochastic RSI filtering. It calculates the probability of price reaching a user-defined target move (default: 0.3%) within a specified forecast horizon (default: 3 bars).
Components:
ATR and Volatility: ATR (Average True Range) is calculated over a user-defined lookback period (default: 5) and scaled by a volatility factor (default: 1.5) to estimate price volatility. A volatility ratio (current volatility vs. average) filters out signals during extreme volatility (>2x average).
Stochastic RSI: A 7-period RSI is smoothed into a Stochastic RSI (5-period stochastic, 2-period SMA) to identify overbought (>85) or oversold (<15) conditions, preventing signals in extreme market states.
Monte Carlo Simulation: 30 price paths are simulated using a geometric Brownian motion model, incorporating drift (based on weighted moving average of returns) and volatility shocks. The simulation estimates the probability of price reaching the target move up or down.
Signal Generation: A buy signal is triggered if the probability of an upward move exceeds the confidence threshold (default: 65%) and the market is not overbought, with volatility within limits. A sell signal is triggered similarly for downward moves.
Purpose: The SPP provides a probabilistic framework to anticipate short-term price movements, reducing reliance on lagging indicators.
Comprehensive Indicator Suite:
Core Logic: This module combines multiple technical indicators to confirm SPP signals and generate independent signals based on momentum, trend, and volume.
Components:
MACD: Uses fast (5-period) and slow (13-period) EMAs to calculate the MACD line, smoothed by a 5-period signal line. A crossover above a threshold (default: 0.0001) indicates bullish momentum, while a crossunder signals bearish momentum.
RSI: A 14-period RSI identifies overbought (>70) or oversold (<30) conditions to filter signals.
Moving Average Crossovers: Fast (5-period) and slow (20-period) EMAs determine trend direction. A bullish crossover (fast > slow) supports buy signals, while a bearish crossover (fast < slow) supports sell signals.
Volume Spikes: Volume exceeding 2x the 50-period average signals significant market activity, enhancing signal reliability.
JKH RSI: A fast 3-period RSI with custom overbought (>80) and oversold (<20) levels provides additional confirmation, reducing false signals in choppy markets.
Sentiment Input: A user-defined sentiment score (-1 to 1) adjusts signal strength, allowing traders to incorporate external market bias (e.g., news or fundamentals).
Signal Generation: A buy signal requires a bullish MACD crossover, RSI oversold, bullish MA crossover, non-overbought JKH RSI, and neutral/positive sentiment. A sell signal requires the opposite conditions.
Signal Strength Calculation:
Logic: Combines SPP probability, RSI deviation, and MACD strength, weighted at 50%, 30%, and 20%, respectively. Sentiment input scales the final strength (0–100).
Formula:
Bullish strength = min(100, (50 * |prob_up - prob_down| / 100 + 30 * |RSI - 50| / 50 + 20 * |MACD_line| / (0.1 * ATR)) * (1 + max(0, sentiment)))
Bearish strength is calculated similarly, using the absolute negative sentiment.
Purpose: Quantifies signal confidence, helping traders prioritize high-probability setups.
Strategy Results and Risk Management
While the script is primarily an indicator, it provides implied trading signals that assume realistic trading conditions:
Assumptions: Signals are designed for short-term trading (1-5 minute charts) with a minimum of 100 trades for statistical significance. The script assumes typical commission (e.g., 0.1% per trade) and slippage (e.g., 0.05%) for liquid markets. Risk per trade is implicitly capped via ATR-based stop-loss levels (2x ATR below/above entry for buy/sell).
Default Settings:
Lookback (5), volatility factor (1.5), and forecast horizon (3) are optimized for short timeframes.
ATR-based stop-loss and profit target levels (2x ATR) provide a risk-reward ratio of approximately 1:1.
Confidence threshold (65%) balances signal frequency and reliability.
Customization: Traders can adjust the ATR multiplier for stop-loss/profit targets or modify the confidence threshold to increase/decrease signal frequency. Lowering the target move (e.g., to 0.2%) or shortening the forecast horizon (e.g., to 2 bars) can tighten risk parameters for scalping.
Guidance: Traders should backtest signals on their specific asset and timeframe, ensuring sufficient trade volume (>100 trades) and incorporating their broker’s commission/slippage. Risk should be limited to 5–10% of equity per trade, adjustable via ATR multiplier or position sizing outside the script.
User Settings and Customization
The script offers extensive user inputs, organized into three groups:
Stochastic Price Predictor Settings:
Lookback Period (default: 5): Controls the period for ATR and returns calculation. Shorter periods increase sensitivity.
Volatility Factor (default: 1.5): Scales ATR for volatility shocks in the Monte Carlo simulation.
Confidence Threshold (default: 65%): Sets the minimum probability for SPP signals.
Stoch RSI Overbought/Oversold Levels (default: 85/15): Filters signals in extreme conditions.
Forecast Horizon (default: 3): Number of bars for price prediction.
Target Move (default: 0.3%): Expected price movement for probability calculation.
Show Predicted Range (default: false): Toggles visibility of the 25th–75th percentile price range.
Comprehensive Indicator Settings:
RSI Length (default: 14), Overbought (70), Oversold (30): Standard RSI parameters.
ATR Length (default: 14): Period for ATR calculation.
Volume Spike Multiplier (default: 2.0): Threshold for detecting volume spikes.
Sentiment Input (default: 0.0, range: -1 to 1): Scales signal strength based on external bias.
MACD Fast/Slow/Signal Lengths (default: 5/13/5), Crossover Threshold (0.0001): Controls MACD sensitivity.
MA Fast/Slow Lengths (default: 5/20): Defines trend direction.
JKH RSI Length (default: 3), Overbought (80), Oversold (20): Fast RSI for confirmation.
Visual Settings:
Show SPP Signals (default: true): Displays SPP buy/sell labels.
Show Comp Signals (default: true): Displays comprehensive indicator signals.
Highlight Volume Spikes (default: true): Highlights bars with significant volume.
Show ATR Levels (default: true): Plots stop-loss and profit-target lines.
Impact: Adjusting lookback periods or thresholds affects signal frequency and sensitivity. For example, lowering the confidence threshold increases signals but may reduce accuracy, while increasing the volatility factor amplifies price path variability.
Visualizations and Chart Setup
The script plots clear, relevant elements on the chart to aid decision-making:
Trend Line: Plots the close price, colored green (bullish, fast MA > slow MA), red (bearish), or orange (neutral).
SPP Signals: Green "BUY (SPP)" labels below bars and red "SELL (SPP)" labels above bars when conditions are met.
Predicted Range: Optional blue step lines showing the 25th–75th percentile price range from the Monte Carlo simulation, with a semi-transparent fill.
Comprehensive Signals:
Blue upward triangles for bullish MACD crossovers, orange downward triangles for bearish crossovers.
Green circles above bars for RSI overbought, red circles below for oversold.
Green "BUY (Comp)" labels (offset by 1x ATR below) and red "SELL (Comp)" labels (offset by 1x ATR above) for comprehensive signals.
Green upward triangles for bullish MA crossovers, red downward triangles for bearish crossovers.
Volume Spikes: Yellow background highlights bars with volume >2x the 50-period average.
ATR Levels: Purple dotted lines for stop-loss (close - 2x ATR) and profit target (close + 2x ATR).
Moving Averages: Fast MA (blue, 5-period) and slow MA (red, 20-period) for trend reference.
Clarity: Only relevant elements are plotted, ensuring traders can quickly identify trends, signals, and risk levels without clutter.
Adaptive Momentum Flow (AMF)Overview
The Adaptive Momentum Flow (AMF) indicator is a powerful, multi-faceted tool designed to provide a comprehensive and adaptive view of market momentum and trend strength. Unlike traditional oscillators with fixed settings, AMF dynamically adjusts its calculations based on market volatility , ensuring its signals remain relevant across varying market conditions. By combining advanced Double Exponential Moving Averages (DEMA) with a powerful volume analysis component and a customizable scoring system, AMF offers a unique perspective on price action and underlying buying/selling pressure.
Key Features & How It Works
1. Adaptive DEMA Trend Strength:
At its core, AMF utilizes three DEMA lines (Fast, Medium, Slow) to assess the current trend's alignment and strength.
The indicator dynamically adjusts the lengths of these DEMA lines based on real-time market volatility, measured by Average True Range (ATR). This means AMF becomes more responsive in volatile markets and smoother in calmer periods.
A "Volatility Sensitivity" input allows you to fine-tune how aggressively the indicator adapts to these changes.
2. Volume Analysis (Buying/Selling Pressure):
AMF incorporates a dedicated volume analysis module to gauge whether volume is predominantly supporting upward or downward price movements. This helps identify periods of significant buying or selling pressure.
This volume analysis component is smoothed with an adjustable Moving Average (SMA, EMA, WMA, or DEMA) and contributes to the overall momentum score, adding a crucial layer of volume-driven confirmation to the analysis.
3. Comprehensive Scoring System:
The indicator generates a normalized "Oscillator Score" that ranges from -100 to 100. This score is a weighted sum of:
Price's relationship to the Fast DEMA.
The Fast DEMA's relationship to the Medium DEMA.
The Medium DEMA's relationship to the Slow DEMA.
The smoothed value from the volume analysis.
Each component's influence on the final score can be individually adjusted via input weights, allowing for deep customization.
Signal Line & Crossovers:
A smoothed "Signal Line" provides additional confirmation for momentum shifts. Crossovers between the main AMF line and its Signal Line can indicate potential changes in market direction.
Overbought/Oversold Levels:
Adjustable Overbought (default 70) and Oversold (default -70) levels visually highlight extreme momentum conditions.
These zones are enhanced with a color fill effect (bright red for overbought, bright cyan for oversold), making it easy to spot when the market is entering potentially exhausted states.
Crucially, these extreme zones can often be further validated by combining them with volatility bands (like Bollinger Bands or Keltner Channels as shown in the chart above) or other confluence indicators, offering stronger signals for potential reversals or exhaustion.
Benefits for Traders
Reduced Lag: DEMA's inherent design helps minimize lag compared to traditional moving averages, providing more timely signals.
Adaptive Intelligence: Automatically adjusts to market volatility, ensuring the indicator's sensitivity is appropriate for current conditions.
Holistic Momentum View: Combines price-based trend alignment with volume-based pressure for a more robust assessment of market flow.
Clear Visual Cues: Intuitive plots, signal line, and vibrant overbought/oversold zone fills make interpretation straightforward.
Customizable: Extensive input options allow traders to tailor the indicator to their specific trading style, asset, and timeframe.
How to Use
Trend Confirmation: Look for the AMF line and its Signal Line to align with the price trend.
Momentum Shifts: Crossovers between the AMF line and its Signal Line can indicate shifts in momentum.
Extreme Conditions: Pay attention when the AMF line enters the neon-highlighted overbought or oversold zones, signaling potential reversals or pauses in the current momentum. Always consider confirming these signals with other analysis tools, such as price action, chart patterns, support/resistance levels, or volatility indicators.
Customization: Experiment with the "Volatility Sensitivity," DEMA multipliers, and scoring weights to find the optimal settings for your trading strategy.
Sentival | QuantEdgeBIntroducing Sentival by QuantEdgeB.
An Adaptive Multi-Factor Indicator for Market Valuation & Trend Strength
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Overview
The Sentival Valuation System is a medium-term, multi-factor valuation tool designed to assess market conditions using a combination of momentum, mean reversion, and risk-adjusted metrics. It provides traders and investors with a dynamic score reflecting market valuation, ranging from strongly oversold to strongly overbought conditions.
This system leverages a diverse range of technical indicators, including momentum oscillators, volatility measures, risk ratios, and mean-reversion metrics, providing a holistic view of market conditions.
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1. Key Features
🛠 Multi-Factor Valuation Model
Sentival aggregates nine different indicators, normalizing and rescaling them into a standardized z-score-based valuation system. The final output represents an average of the selected indicators, allowing for flexible customization based on the user’s preference.
📊 Customizable Indicator Selection
Users can enable or disable any of the nine valuation factors, ensuring the system adapts to different market environments, trading styles, and assets.
🔄 Multi-Timeframe Adaptability
Sentival can be used across different time horizons, making it suitable for short-term mean reversion, medium-term traders, or long-term valuation analysis by simply adjusting the timeframe and indicator settings. This flexibility allows traders to adapt Sentival to various market conditions and trading objectives.
🎨 Intuitive Dashboard & Color Coding
- Dynamic Heatmap & Dashboard: Displays valuation strength across multiple factors.
- Gradient-Based Overbought/Oversold Signals: Clear color-coded signals for easy interpretation.
- Background Highlighting: Optional oversold/overbought background zones.
🏆 Statistical & Risk-Based Insights
- Standardized Rescaling & Z-Score Analysis to prevent bias from individual indicators.
- Risk-Adjusted Metrics such as Sharpe, Sortino, and Omega Ratios help assess the overall market risk appetite.
- Trend Following Mode (TF Display): Users can enable the "Trend Following" option to display the trend direction, helping to align valuation signals with the broader market trend.
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2. How It Works
Sentival is a multi-factor trend and momentum analysis system, designed to track market cycle shifts using a combination of volatility, momentum, risk assessment, and valuation mechanisms. Instead of focusing on one dimension of the market, Sentival integrates multiple methodologies to cross-validate signals and reduce noise. Each indicator in Sentival plays a specific role, ensuring confirmation across different market conditions.
How Each Component Works Together
1️⃣ Chande Momentum Oscillator (CMO)
• A momentum-based measure that determines whether price action is dominated by upward or downward forces.
• Works well in combination with volatility measures to confirm whether a move is sustainable.
2️⃣ Disparity Index
• Measures the distance between price and its moving average, acting as an overextension filter.
• Ensures that trend-following signals are not driven by short-term spikes but sustained trends.
3️⃣ Bollinger Bands % (BB%)
• A volatility measure that indicates how far price is from the statistical mean.
• Helps identify trend exhaustion points where price moves become unstable.
4️⃣ Relative Strength Index (RSI)
• A trend confirmation layer, ensuring that momentum strength aligns with price movement.
• Adds an additional check to prevent false breakouts.
5️⃣ Rate of Change (RoC)
• Captures the speed of price movement, ensuring that the market has enough momentum for trend continuation.
• Works well with risk indicators to filter weaker moves.
6️⃣ Price Z-Score
• A statistical tool to measure how far price is from its long-term equilibrium.
• Helps prevent entering overstretched trends too late.
7️⃣ Risk Ratios (Sharpe, Sortino, Omega)
• This is the risk-adjusted performance component, ensuring that trends have a healthy risk-reward balance.
• Helps determine when a trend has structurally strong backing rather than speculative movement.
8️⃣ Hurst Cycle Analysis
• Measures the persistence of trends by analyzing price fractals.
• Ensures that the market regime is either trending or mean-reverting, improving trade confidence.
9️⃣ Commodity Channel Index (CCI)
• Helps identify strong trend conditions, adding another layer of momentum confirmation.
• Works well with other oscillators to prevent misreading counter-trends.
🔗 Why These Components Work Well Together
• Momentum + Volatility + Risk → Instead of relying on a single category, Sentival merges multiple dimensions of market behavior into a cohesive signal.
• Filters Out False Signals → Combining momentum oscillators, volatility measures, and risk-adjusted metrics ensures high-confidence entries.
• Adaptability Across Market Regimes → Whether the market is trending, consolidating, or volatile, the system adjusts dynamically.
• Cross-Validation for Trend Strength → If multiple components align, it increases certainty that a trend is real and sustainable.
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3. Sentival Scanner - table breakdown
The dashboard-style table generated is designed to give traders a holistic market view at a glance. It processes a variety of technical signals and distills them into readable labels, visual strength bars, and actionable trend states. Here's a breakdown of what each section means:
1. Direction
This section analyzes whether the average Z-score (a composite of several indicators) is increasing, decreasing, or neutral over time. It does this using a smoothed trend of the Z-score, comparing recent values to older ones.
2. Momentum
Momentum is derived from the rate of change (RoC) of the average Z-score. It evaluates how strong the current move is. If momentum is above a certain positive threshold, it’s considered positive, if below a negative threshold, it’s negative, otherwise it’s neutral.
3. Impulse
Impulse reflects the velocity of momentum — in other words, is the market speeding up or slowing down? High positive values suggest strong acceleration (strong impulse), while negative values show deceleration or stalling.
4. Drive
This metric combines momentum and velocity to create a descriptive phrase that captures the market’s behavior. For example:
• “Strong Upside” means strong momentum with acceleration.
• “Fading Downside” means bearish momentum losing steam.
• “Neutral” appears when momentum is indecisive.
5. Deviation Distance
This represents how far the market price is from fair value in terms of standard deviation units (σ). It’s calculated using Z-scores and classified as:
• +1σ, +2σ, etc., for overvalued regions.
• −1σ, −2σ, etc., for undervalued areas.
• “At Fair Value” if close to the mean.
6. Bull and Bear Strength Bars
The system computes both bullish and bearish strength, using distance from fair value, the rate of change, and the velocity. These strengths are displayed as progress bars, giving a quick visual cue of conviction. The table labels them as:
• “Bull Conviction” if there's a long bias.
• “Bull Potential” if bullish but undecided.
• “Bear Conviction” or “Bear Potential” for short-side equivalents.
7. Trend Signal
This is a simple label that tells you if the scanner recommends a Long, Short, or Cash (neutral) stance based on threshold logic. It is based on whether the average Z-score crosses above a long threshold or below a short one.
8. Stage
The “Stage” label summarizes the valuation environment based on the composite Z-score:
• Strong Undervalued
• Moderately Undervalued
• Fair Value
• Overvalued, etc.
This stage helps traders know whether they are operating in cheap or expensive territory statistically.
Summary
Overall, this table merges advanced technical signals like momentum, volatility, valuation, and risk into a digestible format that updates dynamically with each bar. The goal is to provide traders with a 360° perspective on market conditions, tailored for both trend-following and mean-reversion strategies.
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4. Sentival Valuation Score & Interpretation
🔹 Sentival Score Ranges
- 📉 Strongly Oversold (-2 and below) → Market is extremely undervalued; potential reversal.
- 📉 Moderately Oversold (-1.5 to -2) → Discounted market conditions, buying interest may emerge.
- 📉 Slightly Oversold (-0.5 to -1.5) → Possible accumulation phase.
- ⚖ Fair Value (-0.5 to +0.5) → Market trading at equilibrium.
- 📈 Slightly Overbought (+0.5 to +1.5) → Initial signs of market strength.
- 📈 Moderately Overbought (+1.5 to +2) → Market heating up, caution warranted, selling interest may emerge.
- 📈 Strongly Overbought (+2 and above) → Extreme valuation, increased risk of correction.
This classification helps traders gauge overall market sentiment and make better allocation decisions.
Note: Past valuations and buy/sell signals generated by Sentival do not guarantee future performance. Market conditions can change, and proper risk management should always be applied.
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5. Use Cases & Applications
🔹 📊 Market Rotation & Asset Allocation
- Used as a valuation model to determine if a market or asset is undervalued or overvalued.
- Rotational strategies can benefit from the valuation score by switching exposure between assets.
🔹 📈 Medium-Term Trend Identification
- Detects overbought and oversold conditions while filtering out short-term noise.
- Can be combined with other trend-following indicators for confluence-based strategies.
🔹 🔄 Mean Reversion & Momentum Trading
- Provides statistical validation for momentum breakouts or mean reversion signals.
- Useful for long-short trading strategies, determining optimal entry & exit points.
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Conclusion
Sentival is a powerful universal valuation system for traders and investors seeking a data-driven, multi-factor approach to market valuation. With its combination of momentum, trend, risk-adjusted, and mean-reversion indicators, it provides a robust, adaptable, and statistically sound framework for making informed market decisions.
🔹 Who Should Use Sentival?
✅ Swing Traders & Medium-Term Investors looking for structured valuation metrics.
✅ Quantitative & Systematic Traders incorporating multi-factor models.
✅ Portfolio Managers optimizing exposure to different market regimes.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Stochastic RSI with Alerts# Stochastic RSI with Alerts - User Manual
## 1. Overview
This enhanced Stochastic RSI indicator identifies overbought/oversold conditions with visual signals and customizable alerts. It features:
- Dual-line Stoch RSI (K & D)
- Threshold-based buy/sell signals
- Configurable alert system
- Customizable parameters
## 2. Installation
1. Open TradingView chart
2. Open Pine Editor (📈 icon at bottom)
3. Copy/paste the full code
4. Click "Add to Chart"
## 3. Input Parameters
### 3.1 Core Settings
| Parameter | Default | Description |
|-----------|---------|-------------|
| K | 3 | Smoothing period for %K line |
| D | 3 | Smoothing period for %D line |
| RSI Length | 14 | RSI calculation period |
| Stochastic Length | 14 | Lookback period for Stoch calculation |
| RSI Source | Close | Price source for RSI calculation |
### 3.2 Signal Thresholds
| Parameter | Default | Description |
|-----------|---------|-------------|
| Upper Limit | 80 | Sell signal threshold (overbought) |
| Lower Limit | 20 | Buy signal threshold (oversold) |
### 3.3 Alert Settings
| Parameter | Default | Description |
|-----------|---------|-------------|
| Enable Buy Alerts | True | Toggle buy notifications |
| Enable Sell Alerts | True | Toggle sell notifications |
| Custom Alert Message | Empty | Additional text for alerts |
## 4. Signal Logic
### 4.1 Buy Signal (Green ▲)
Triggers when:
\text{%K crossover %D} \quad AND \quad (\text{%K ≤ Lower Limit} \quad OR \quad \text{%D ≤ Lower Limit})
### 4.2 Sell Signal (Red ▼)
Triggers when:
\text{%K crossunder %D} \quad AND \quad (\text{%K ≥ Upper Limit} \quad OR \quad \text{%D ≥ Upper Limit})
## 5. Alert System
### 5.1 Auto-Generated Alerts
The script automatically creates these alert conditions:
- **Buy Signal Alert**: Triggers on valid buy signals
- **Sell Signal Alert**: Triggers on valid sell signals
Alert messages include:
- Signal type (Buy/Sell)
- Current %K and %D values
- Custom message (if configured)
### 5.2 Alert Configuration
**Method 1: Script-Generated Alerts**
1. Hover over any signal marker
2. Click the 🔔 icon
3. Select trigger conditions:
- "Buy Signal Alert"
- "Sell Signal Alert"
**Method 2: Manual Setup**
1. Open Alert creation window
2. Condition: Select "Stoch RSI Alerts"
3. Choose:
- "Buy Signal Alert" for long entries
- "Sell Signal Alert" for exits/shorts
## 6. Customization Tips
### 6.1 Threshold Adjustment
// For day trading (tighter ranges)
upperLimit = 75
lowerLimit = 25
// For swing trading (wider ranges)
upperLimit = 85
lowerLimit = 15
### 6.2 Visual Modifications
Change signal markers via:
- `style=` : Try `shape.labelup`, `shape.flag`, etc.
- `color=` : Use hex codes (#FF00FF) or named colors
- `size=` : `size.tiny` to `size.huge`
## 7. Recommended Use Cases
1. **Mean Reversion Strategies**: Pair with support/resistance levels
2. **Trend Confirmation**: Filter with 200EMA direction
3. **Divergence Trading**: Compare with price action
## 8. Limitations
- Works best in ranging markets
- Combine with volume analysis for confirmation
- Not recommended as standalone strategy
---
This documentation follows technical writing best practices with:
- Clear parameter tables
- Mathematical signal logic
- Visual hierarchy
- Practical examples
- Usage recommendations
TrendFlow Dynamics V.1.3 [Afnan_YP]The "TrendFlow Dynamics V.1.2 " indicator is a powerful tool designed to analyze price charts in financial markets. It is built to provide comprehensive functionality for trend analysis, support and resistance levels, and buy/sell signals, helping users make more informed trading decisions. The main functions of this indicator are as follows:
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1. Trend Detection
- Detects real-time uptrends and downtrends in price movements.
- Displays trends by changing the color of the chart bars:
- Specific bar colors for uptrends (UP Trend).
- Specific bar colors for downtrends (Down Trend).
- Supports trend shifts when price breaks support or resistance levels.
- Enables users to easily grasp the overall market direction at a glance.
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2. Support and Resistance Levels
- Automatically identifies dynamic support and resistance levels:
- Support indicates areas where price is likely to stop falling.
- Resistance indicates areas where price is likely to stop rising.
- Lines for support and resistance are updated dynamically with market movements.
- Fully customizable, including line color, thickness, and style (solid, dotted, dashed).
- Enhances precision in planning entry and exit strategies.
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3. Buy/Sell Signals
- Generates buy and sell signals based on predefined price movement conditions.
- Displays symbols on the chart to clearly indicate Buy and Sell points.
- Includes signal filtering to reduce risks in sideways or non-trending markets.
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4. Alerts
- Provides alert notifications when buy or sell signals are generated.
- Configurable to send alerts through the TradingView app, ensuring no trading opportunities are missed.
- Ideal for users who want to monitor the market without constantly watching the screen.
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5. Price Level Evaluation (Indicator Zones)
- Identifies zones where price is in an "Overbought" or "Oversold" condition.
- Highlights potential buy opportunities when the price enters an Oversold zone and sell opportunities when it enters an Overbought zone.
- Supports customizable thresholds and conditions for entering or exiting these zones.
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6. Flexible Customization
- Offers a wide range of customizable parameters, such as:
- Trend calculation period (Pivot Length).
- Levels for buy and sell zones to filter false signals.
- Sensitivity of trend detection.
- Customization of bar colors, support/resistance lines, and signal display.
- Adaptable to suit individual trading styles and strategies.
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7. Trend Filtering
- Incorporates filters to detect the strength of market trends.
- Reduces the risk of signals occurring during non-trending or sideways markets.
- Filters can be toggled on or off according to user preference.
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8. Clear and User-Friendly Visualization
- Displays buy/sell signals and support/resistance levels in real-time on the chart.
- Designed for clear and intuitive presentation, suitable for traders of all experience levels.
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Summary
This indicator is ideal for traders seeking an all-in-one market analysis tool. It offers trend analysis, support and resistance identification, buy/sell signal generation, and alert notifications. It is suitable for both beginners and professional traders who want to enhance their trading precision.