Optimized Volume SniperThis strategy combines advanced volume analysis, cumulative volume delta (CVD), and volatility measurements with dual EMA trend filters to identify high-probability trading opportunities. It operates as two independent systems using different timeframe perspectives (34 EMA and 300 EMA) for diverse trading approaches.
Key Components:
1. Volume Flow Analysis (EVEREX)
- Analyzes normalized volume patterns relative to historical averages
- Incorporates bar price action through spread and range calculations
- Uses a dynamic quarter-level volume threshold for signal validation
- Combines multiple price action metrics for flow determination
2. Cumulative Volume Delta (CVD)
- Tracks intraday buying/selling pressure through volume delta
- Aggregates volume based on price movement and bar direction
- Provides volume-based market sentiment confirmation
- Resets calculations daily for fresh market context
3. Volatility Filter (Expansion/Contraction)
- Measures market volatility through high-low range analysis
- Uses 32-period lookback for volatility pattern recognition
- Incorporates standard deviation bands for volatility thresholds
- Helps filter out low-quality signals during unsuitable market conditions
4. Trend Filters & Trade Management
- System 1: Uses 34 EMA for shorter-term trend alignment
- System 2: Uses 300 EMA for longer-term trend alignment
- Both systems exit positions on 34 EMA crossovers
- Color-coded signals: Green/Red (34 EMA system), Blue/Purple (300 EMA system)
Detailed Strategy Operations:
1. EVEREX (Volume Band Strategy) Operation:
- Normalizes volume using a proprietary algorithm that compares current volume to historical averages
- Calculates bar-by-bar price action metrics:
* Bar spread (close - open)
* Bar range (high - low)
* 2-bar range for context
* Price change measurements
- Processes multiple ratio calculations:
* Bar closing position relative to range
* Spread to range ratio
* Bar spread normalization
* Price shift measurements
- Combines these metrics to create a flow indicator (Pricea_n)
- Final bar_flow calculation integrates price action with normalized volume
- Uses adaptive quarter-level volume threshold for signal validation
- Generates initial buy/sell conditions based on flow direction and volume strength
2. CVD (Cumulative Volume Delta) Operation:
- Analyzes volume on a tick-by-tick basis within each bar
- Classifies volume as buying or selling based on:
* Current bar's close vs open
* Current close vs previous close
- Accumulates positive volume for buying pressure
- Accumulates negative volume for selling pressure
- Maintains running total throughout the trading day
- Resets at the start of each new trading day
- Provides directional bias based on cumulative value:
* Positive CVD suggests buying pressure
* Negative CVD suggests selling pressure
3. Expansion/Contraction Strategy Operation:
- Calculates average high and low prices over 32 periods
- Measures positive expansion:
* High and low deviation above average high
- Measures negative expansion:
* High and low deviation below average low
- Computes medium point between positive and negative expansion
- Normalizes readings against this medium point
- Uses 500-period standard deviation for threshold calculation
- Generates buy/sell conditions based on relationship to standard deviation bands
4. EMA Systems Operation:
34 EMA System:
- Acts as shorter-term trend filter
- Entry Rules:
* EVEREX must show positive flow (long) or negative flow (short)
* CVD must confirm direction (positive for longs, negative for shorts)
* Expansion/Contraction must be within limits
* Price must be above (long) or below (short) 34 EMA
- Exit Rules:
* Price crossing below 34 EMA exits longs
* Price crossing above 34 EMA exits shorts
- Marked by green (buy) and red (sell) labels
300 EMA System:
- Functions as longer-term trend filter
- Entry Rules:
* Same EVEREX, CVD, and Expansion/Contraction conditions as 34 EMA system
* Price must be above (long) or below (short) 300 EMA
- Exit Rules:
* Uses 34 EMA crosses for exits (same as 34 EMA system)
- Marked by blue (buy) and purple (sell) labels
Signal Integration Process:
1. Base conditions (EVEREX, CVD, Expansion/Contraction) calculate independently
2. Each EMA system evaluates its trend condition
3. Signals generate only when all conditions align
4. Trade management tracks positions separately for each system
5. Exit conditions monitor continuously for 34 EMA crosses
This creates four distinct scenarios:
1. 34 EMA Long: All base conditions positive + price above 34 EMA
2. 34 EMA Short: All base conditions negative + price below 34 EMA
3. 300 EMA Long: All base conditions positive + price above 300 EMA
4. 300 EMA Short: All base conditions negative + price below 300 EMA
The strategy's strength lies in its multi-layered confirmation approach:
- Volume and price action (EVEREX)
- Institutional money flow (CVD)
- Market volatility state (Expansion/Contraction)
- Trend alignment (EMAs)
Entry Conditions:
Long Trades:
- Volume flow is positive with sufficient strength
- Positive CVD indicating buying pressure
- Volatility within acceptable range
- Price above respective EMA (34 or 300)
Short Trades:
- Volume flow is negative with sufficient strength
- Negative CVD indicating selling pressure
- Volatility within acceptable range
- Price below respective EMA (34 or 300)
Exit Conditions:
- Both systems use 34 EMA crossovers for exits
- Longs exit when price crosses below 34 EMA
- Shorts exit when price crosses above 34 EMA
Strategy Properties:
- Default settings use percentage-based position sizing (100% of equity)
- RoF Length: 10 periods for rate of flow calculations
- Lookback Length: 20 periods for historical comparisons
- Band Scale: 100 for volume threshold calculations
- Standard Deviation Length: 500 periods for volatility measurement
Usage Guidelines:
1. Best suited for liquid markets with consistent volume
2. Recommended timeframes: 1H to 4H for optimal signal generation
3. 34 EMA system more suitable for shorter swings
4. 300 EMA system better for longer-term positions
5. Consider using both systems for confirmation
Risk Management:
- Strategy uses trend-following approach with defined exits
- Multiple confirmation filters reduce false signals
- Independent systems allow for portfolio diversification
- Dynamic volume thresholds adapt to market conditions
This comprehensive strategy combines sophisticated volume analysis with trend-following principles while maintaining clear entry and exit rules. The dual-system approach provides flexibility for different trading styles and market conditions. This multi-layered confirmation approach helps filter out lower-probability setups while identifying stronger trading opportunities across different timeframes.
Volume
Volume by MVThis script analyzes volume data using different types of moving averages and highlights significant volume changes with different colors. It provides visual cues for traders to identify potential trading opportunities based on volume spikes and trends.
Multi-Timeframe RSI Strategy with Momentum, ADX, and VWMAIt is a simple strategy based on RSI indicator on various time frames.
When the RSI is higher than 50 in all time frames (in this case we have taken three time frames, 15 min, 10 min and 5 min) and lower time frame RSI is higher than its next time frame RSI, the ENTRY should be taken. And exit the trade when any RSI is lower than 50.
Optimus trader Optimus Trader
Indicator Description:
The Optimus Trader indicator is designed for technical traders looking for entry and exit points in financial markets. It combines signals based on volume, moving averages, VWAP (Volume Weighted Average Price), as well as the recognition of candlestick patterns such as Pin Bar and Inside Bars. This indicator helps identify opportune moments to buy or sell based on trends, volumes, and recent liquidity zones.
Parameters and Features:
1. Simple Moving Average (MA) and VWAP:
- Optimus Trader uses a 50-period simple moving average to determine the underlying trend. It also includes VWAP for precise price analysis based on traded volumes.
- These two indicators help identify whether the market is in an uptrend or downtrend, enhancing the reliability of buy and sell signals.
2. Volume :
- To avoid false signals, a volume threshold is set using a 20-period moving average, adjusted to 1.2 times the average volume. This filters signals by considering only high-volume periods, indicating heightened market interest.
3. Candlestick Pattern Recognition:
- Pin Bar: This sought-after candlestick pattern is detected for both bullish and bearish setups. A bullish or bearish *Pin Bar* often signals a possible reversal or continuation.
- *Inside Bar*: This price compression pattern is also detected, indicating a zone of indecision before a potential movement.
4. Trend:
- An uptrend is confirmed when the price is above the MA and VWAP, while a downtrend is identified when the price is below both indicators.
5. Liquidity Zones:
- Optimus Trader includes an approximate liquidity zone detection feature. By identifying recent support and resistance levels, the indicator detects if the price is near these zones. This feature strengthens the relevance of buy or sell signals.
6. Buy and Sell Signals:
- Buy: A buy signal is generated when the indicator detects a bullish *Pin Bar* or *Inside Bar* in an uptrend with high volume, and the price is close to a liquidity zone.
- Sell: A sell signal is generated when a bearish *Pin Bar* or *Inside Bar* is detected in a downtrend with high volume, and the price is near a liquidity zone.
Signal Display:
The signals are visible directly on the chart:
- A "BUY" label in green is displayed below the bar for buy signals.
- A "SELL" label in red is displayed above the bar for sell signals.
Summary:
This indicator is intended for traders seeking precise entry and exit points by integrating trend analysis, volume, and candlestick patterns. With liquidity zones, *Optimus Trader* helps minimize false signals, providing clear and accurate alerts.
---
This description can be directly added to TradingView to help users quickly understand the features and logic of this indicator.
Enhanced Buy/Sell Call Indicator with Support & ResistanceThis script will plot Buy Call and Sell Call signals alongside dynamic support and resistance levels.
Support Level: Calculated as the lowest price over a lookback period (default is 20 bars). This level represents a potential area where the price might find buying interest.
Resistance Level: Calculated as the highest price over a lookback period (default is 20 bars). This level represents a potential area where the price might face selling pressure.
These levels will be dynamically updated based on recent highs and lows, providing visual markers for support and resistance directly on the chart. This can help you make more informed decisions on whether to take a trade based on how close the current price is to these levels.
Volume by MVYellow: Indicates extreme volume, where the current volume is significantly higher than the moving average of the extreme length.
Blue: Indicates high volume, where the current volume is higher than the moving average of the specified length.
Green: Indicates an outside bar with high volume.
Gray: Represents normal volume conditions.
Chaikin DivergenceOverview
The Chaikin Divergence is a powerful technical indicator designed to enhance the traditional Chaikin Oscillator by incorporating divergence detection between the oscillator and price action. This advanced tool not only plots the Chaikin Oscillator but also identifies and highlights bullish and bearish divergences, providing traders with valuable insights into potential trend reversals and momentum shifts.
Key Features
Chaikin Oscillator Plotting: Visual representation of the Chaikin Oscillator, aiding in the analysis of market momentum based on volume and price.
Divergence Detection:
Bullish Divergence: Indicates potential upward reversals when price forms lower lows while the oscillator forms higher lows.
Bearish Divergence: Signals possible downward reversals when price creates higher highs while the oscillator forms lower highs.
Customizable Settings:
Fast Length & Slow Length: Adjust the periods for the Exponential Moving Averages (EMA) used in the oscillator calculation.
Pivot Detection Parameters: Define the sensitivity of pivot high and pivot low detection with adjustable left and right bars.
Bars Lookback for Divergence: Set the number of bars to look back for identifying divergences.
Color Customization: Choose distinct colors for bullish and bearish divergence labels to match your trading preferences.
Visual Indicators:
Divergence Labels: Clear and distinct labels (arrows or dots) on the chart indicating the type and location of divergences.
Zero Line: A dashed zero line to reference the oscillator’s crossing points.
Chaikin Oscillator Calculation:
The indicator calculates the Chaikin Oscillator by subtracting the slow EMA of the Accumulation/Distribution Line (ta.accdist) from the fast EMA.
This oscillates around the zero line, indicating buying and selling pressure.
Pivot Detection:
Utilizes ta.pivothigh and ta.pivotlow functions to identify significant pivot points in price action. These pivot points serve as reference points for divergence analysis.
Divergence Identification:
Bullish Divergence: Detected when a recent pivot low in price is lower than the previous pivot low, while the corresponding oscillator value is higher than the previous oscillator pivot.
Bearish Divergence: Identified when a recent pivot high in price is higher than the previous pivot high, but the oscillator value is lower than the previous oscillator pivot.
Label Plotting:
When a divergence is detected, the indicator plots a label (arrow or dot) on the chart at the pivot point, signaling the type of divergence.
Adding the Indicator:
Open TradingView and navigate to the chart where you want to apply the indicator.
Open the Pine Editor, paste the Chaikin Oscillator with Divergences script, and add it to your chart.
Configuring Settings:
Fast Length & Slow Length: Adjust these to modify the sensitivity of the Chaikin Oscillator. Shorter periods make the oscillator more responsive to price changes.
Left Bars for Pivots & Right Bars for Pivots: Define how many bars to the left and right are considered when identifying pivot points. Increasing these values makes pivot detection less sensitive.
Bars Lookback for Divergence: Set how far back the indicator should search for previous pivot points when identifying divergences. A higher value allows detection over a longer timeframe.
Bullish/Bearish Divergence Colors: Choose colors that stand out against your chart background for easy identification of divergence signals.
Interpreting Signals:
Bullish Divergence Labels: Appear when there's a potential upward reversal, signaling a possible buying opportunity.
Bearish Divergence Labels: Show up when a downward reversal might be imminent, indicating a possible selling opportunity.
Oscillator Crosses Zero: Pay attention to when the oscillator crosses the zero line, as this can also signal changes in momentum.
Combining with Other Indicators:
For enhanced trading strategies, combine divergence signals with other technical indicators or chart patterns to confirm potential trade setups.
Multiple EMA/SMA/VWAPThis Pine Script plots multiple moving averages (MAs) and the Volume-Weighted Average Price (VWAP) on a price chart.
EMAs (Exponential Moving Averages): 4 different EMAs with customizable periods (5, 9, 21, 50).
SMAs (Simple Moving Averages): 4 different SMAs with customizable periods (5, 10, 50, 200).
VWAP (Volume-Weighted Average Price): A single VWAP line that calculates the average price weighted by volume.
Each of these indicators is plotted on the chart in different colors, helping traders track trends and potential support/resistance levels.
Volume by MVThis script analyzes volume data using different types of moving averages and highlights significant volume changes with different colors. It provides visual cues for traders to identify potential trading opportunities based on volume spikes and trends.
Volume by MVYellow: Indicates extreme volume, where the current volume is significantly higher than the moving average of the extreme length.
Blue: Indicates high volume, where the current volume is higher than the moving average of the specified length.
Green: Indicates an outside bar with high volume.
Gray: Represents normal volume conditions.
RSI-EMA Signal by stock shooter## Strategy Description: 200 EMA Crossover with RSI, Green/Red Candles, Volume, and Exit Conditions
This strategy combines several technical indicators to identify potential long and short entry opportunities in a trading instrument. Here's a breakdown of its components:
1. 200-period Exponential Moving Average (EMA):
* The 200-period EMA acts as a long-term trend indicator.
* The strategy looks for entries when the price is above (long) or below (short) the 200 EMA.
2. Relative Strength Index (RSI):
* The RSI measures the momentum of price movements and helps identify overbought and oversold conditions.
* The strategy looks for entries when the RSI is below 40 (oversold) for long positions and above 60 (overbought) for short positions.
3. Green/Red Candles:
* This indicator filters out potential entries based on the current candle's closing price relative to its opening price.
* The strategy only considers long entries on green candles (closing price higher than opening) and short entries on red candles (closing price lower than opening).
4. Volume:
* This indicator adds a volume filter to the entry conditions.
* The strategy only considers entries when the current candle's volume is higher than the average volume of the previous 20 candles, aiming for stronger signals.
Overall:
This strategy aims to capture long opportunities during potential uptrends and short opportunities during downtrends, based on a combination of price action, momentum, and volume confirmation.
Important Notes:
Backtesting is crucial to evaluate the historical performance of this strategy before deploying it with real capital.
Consider incorporating additional risk management techniques like stop-loss orders.
This strategy is just a starting point and can be further customized based on your trading goals and risk tolerance.
FP413Desenvolvido por Alex Reis
- Indicador de Reversão.
- Confluência com a tendência
Tipo de Grafico : Range
Tempo do Gráfico: 10R/ 30R / 50R / 100R
Ativo : Mercado Futuros, Forex , Paridades
SlycoMovingAverageVolume20ForTest__Volume Moving Average (MA 20) is an essential indicator designed to track the average trading volume over the last 20 periods. This indicator highlights shifts in market activity, allowing traders to identify volume trends, spot potential reversals, and confirm momentum. With a 20-period moving average, it smooths out short-term fluctuations, helping to reveal the underlying strength or weakness of price movements. Ideal for volume-based analysis, it adds clarity to decision-making for day traders and long-term investors alike.
Easy CotHow to Use the Commitment of Traders (COT) Report for Market Analysis
The Commitment of Traders (COT) report is a weekly publication by the Commodity Futures Trading Commission (CFTC) that breaks down the open interest in various futures markets. It categorizes traders into three main groups: Commercials, Non-Commercials, and Retail Traders (Non-Reportable positions). Understanding and analyzing the COT report can provide insights into market sentiment and potential reversals, especially in commodity, currency, and stock index futures.
Key Components of the COT Report
Commercials (Hedgers)
These are entities involved in the production or consumption of the underlying asset. For example, oil producers might hedge by selling oil futures to lock in prices, while airlines might buy futures to hedge against rising prices.
Commercials typically act as hedgers, so their positions can indicate the need for protection rather than speculative intent. Because they are less price-sensitive, their positions are usually opposite to the trend near market reversals.
Non-Commercials (Large Speculators)
This group includes hedge funds, asset managers, and large traders who take speculative positions to profit from price movements.
Non-Commercials are often trend-followers, meaning they increase long positions in an uptrend and short positions in a downtrend. When Non-Commercials become extremely bullish or bearish, it may signal a potential market reversal.
Retail Traders (Non-Reportable Positions)
These are smaller individual traders whose positions are too small to be reported individually.
Retail traders tend to be less experienced and are often on the wrong side of major market moves, so extreme positions by retail traders can sometimes signal a market turning point.
How to Interpret the COT Data
1. Identify Extreme Positions
Extreme Long or Short Positions: When a group reaches a historically extreme level of long or short positions, it often signals a potential reversal. For instance, if Non-Commercials are overwhelmingly long, it may indicate that the uptrend is overextended, and a reversal could be near.
Contrarian Indicator: Since Retail Traders are often on the wrong side, you may look for signals where they are extremely long or short, indicating a possible reversal in the opposite direction.
2. Look for Divergences
Divergence Between Groups: If Non-Commercials (speculators) and Retail Traders are moving in opposite directions, it could indicate that a trend is losing momentum and a reversal is possible.
Commercials vs. Non-Commercials: Commercials are often positioned opposite to Non-Commercials. If there’s a divergence where Non-Commercials are highly bullish, but Commercials are increasingly bearish, it might suggest a coming reversal.
3. Trend Confirmation and Reversal Signals
Trend Confirmation: If both Non-Commercials and Retail Traders are aligned in one direction, it might confirm the trend. However, keep in mind that such alignment may signal the later stages of a trend.
Reversal Signals: Look for signs when Non-Commercials are reaching a peak in one direction while Retail Traders peak in the opposite. Such situations can often indicate that the current trend is close to exhaustion.
Using the COT Report in Trading Strategies
Contrarian Trading Strategy
Extreme Positions as Reversal Signals: Use COT data to identify extreme positions. For instance, if Non-Commercials have a very high long position in a commodity, it might suggest that a bullish trend is overextended and a bearish reversal could be near.
Retail Trader Extremes: If Retail Traders are heavily long or short, consider taking the opposite position once you have additional confirmation signals (e.g., technical indicators).
Following the Trend with Large Speculators
Non-Commercials tend to be trend-followers, so if you see them increasingly long (or short) on an asset, it could be a signal to follow the trend until extreme levels are reached.
Using Divergences for Entry and Exit Points
Entry: If Non-Commercials are long, but Retail Traders are heavily short, consider entering a long position as it may confirm the trend.
Exit: If Non-Commercials begin to reduce their positions while Retail Traders increase theirs, it might be time to consider exiting, as the trend could be losing momentum.
Buy&Sell Hollow CandlesThe Hollow Candles Script is a type of candlestick analysis script designed to highlight the following:
Purpose of the Script: This script provides the user with buy and sell signals based on candlesticks that show an upward or downward reversal.
Mechanism of the Script: When a hollow (unfilled) red candle appears, it signals a potential entry, provided that this candle is at a low point, following a series of red candles with higher volume than previous days. Similarly, it gives a sell signal when a green candle appears at a peak with high sell volume surpassing that of prior days. However, the appearance of these candles alone should not prompt an immediate buy or sell; you should wait for a confirming candle to validate the signal.
Sideways Movement Caution: If these signals appear during a sideways or flat trend, it is not advisable to proceed with buying or selling.
Chart Insights: The chart demonstrates certain buy and sell operations along with some non-ideal signals where decision-making should be based on fundamental analytical experience.
Adaptive Kalman filter - Trend Strength Oscillator (Zeiierman)█ Overview
The Adaptive Kalman Filter - Trend Strength Oscillator by Zeiierman is a sophisticated trend-following indicator that uses advanced mathematical techniques, including vector and matrix operations, to decompose price movements into trend and oscillatory components. Unlike standard indicators, this model assumes that price is driven by two latent (unobservable) factors: a long-term trend and localized oscillations around that trend. Through a dynamic "predict and update" process, the Kalman Filter leverages vectors to adaptively separate these components, extracting a clearer view of market direction and strength.
█ How It Works
This indicator operates on a trend + local change Kalman Filter model. It assumes that price movements consist of two underlying components: a core trend and an oscillatory term, representing smaller price fluctuations around that trend. The Kalman Filter adaptively separates these components by observing the price series over time and performing real-time updates as new data arrives.
Predict and Update Procedure: The Kalman Filter uses an adaptive predict-update cycle to estimate both components. This cycle allows the filter to adjust dynamically as the market evolves, providing a smooth yet responsive signal. The trend component extracted from this process is plotted directly, giving a clear view of the prevailing direction. The oscillatory component indicates the tendency or strength of the trend, reflected in the green/red coloration of the oscillator line.
Trend Strength Calculation: Trend strength is calculated by comparing the current oscillatory value against a configurable number of past values.
█ Three Kalman filter Models
This indicator offers three distinct Kalman filter models, each designed to handle different market conditions:
Standard Model: This is a conventional Kalman Filter, balancing responsiveness and smoothness. It works well across general market conditions.
Volume-Adjusted Model: In this model, the filter’s measurement noise automatically adjusts based on trading volume. Higher volumes indicate more informative price movements, which the filter treats with higher confidence. Conversely, low-volume movements are treated as less informative, adding robustness during low-activity periods.
Parkinson-Adjusted Model: This model adjusts measurement noise based on price volatility. It uses the price range (high-low) to determine the filter’s sensitivity, making it ideal for handling markets with frequent gaps or spikes. The model responds with higher confidence in low-volatility periods and adapts to high-volatility scenarios by treating them with more caution.
█ How to Use
Trend Detection: The oscillator oscillates around zero, with positive values indicating a bullish trend and negative values indicating a bearish trend. The further the oscillator moves from zero, the stronger the trend. The Kalman filter trend line on the chart can be used in conjunction with the oscillator to determine the market's trend direction.
Trend Reversals: The blue areas in the oscillator suggest potential trend reversals, helping traders identify emerging market shifts. These areas can also indicate a potential pullback within the prevailing trend.
Overbought/Oversold: The thresholds, such as 70 and -70, help identify extreme conditions. When the oscillator reaches these levels, it suggests that the trend may be overextended, possibly signaling an upcoming reversal.
█ Settings
Process Noise 1: Controls the primary level of uncertainty in the Kalman filter model. Higher values make the filter more responsive to recent price changes, but may also increase susceptibility to random noise.
Process Noise 2: This secondary noise setting works with Process Noise 1 to adjust the model's adaptability. Together, these settings manage the uncertainty in the filter's internal model, allowing for finely-tuned adjustments to smoothness versus responsiveness.
Measurement Noise: Sets the uncertainty in the observed price data. Increasing this value makes the filter rely more on historical data, resulting in smoother but less reactive filtering. Lower values make the filter more responsive but potentially more prone to noise.
O sc Smoothness: Controls the level of smoothing applied to the trend strength oscillator. Higher values result in a smoother oscillator, which may cause slight delays in response. Lower values make the oscillator more reactive to trend changes, useful for capturing quick reversals or volatility within the trend.
Kalman Filter Model: Choose between Standard, Volume-Adjusted, and Parkinson-Adjusted models. Each model adapts the Kalman filter for specific conditions, whether balancing general market data, adjusting based on volume, or refining based on volatility.
Trend Lookback: Defines how far back to look when calculating the trend strength, which impacts the indicator's sensitivity to changes in trend strength. Shorter values make the oscillator more reactive to recent trends, while longer values provide a smoother reading.
Strength Smoothness: Adjusts the level of smoothing applied to the trend strength oscillator. Higher values create a more gradual response, while lower values make the oscillator more sensitive to recent changes.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
MERCURY by DrAbhiramSivprasad"MERCURY by DrAbhiramSivprasad"
Developed from over 10 years of personal trading experience, the Mercury Indicator is a strategic tool designed to enhance accuracy in trading decisions. Think of it as a guiding light—a supportive tool that helps traders refine and build more robust strategies by integrating multiple powerful elements into a single indicator. I’ll be sharing some examples to illustrate how I use this indicator in my own trading journey, highlighting its potential to improve strategy accuracy.
Reason behind the combination of emas , cpr and vwap is it provides very good support and resistance in my trading carrier so now i brought them together in one plate
How It Works:
Mercury combines three essential elements—EMA, VWAP, and CPR—each of which plays a vital role in detecting support and resistance:
Exponential Moving Averages (EMAs): Known for their strength in providing dynamic support and resistance levels, EMAs help in identifying trends and shifts in momentum. This indicator includes a dashboard with up to nine customizable EMAs, showing whether each is acting as support or resistance based on real-time price movement.
Volume Weighted Average Price (VWAP): VWAP also provides valuable support and resistance, often regarded as a fair price level by institutional traders. Paired with EMAs, it forms a dual-layered support/resistance system, adding an additional level of confirmation.
Central Pivot Range (CPR): By combining CPR with EMAs and VWAP, Mercury highlights “traffic blocks” in your target journey. This means it identifies zones where price is likely to stall or reverse, providing additional guidance for navigating entries and exits.
Why This Combination Matters:
Using these three tools together gives you a more complete view of the market. VWAP and EMAs offer dynamic trend direction and support/resistance, while CPR pinpoints critical price zones. This combination helps you find high-probability trades, adding clarity to complex market situations and enabling stronger confirmation on trend or reversal decisions.
How to Use:
Trend Confirmation: Check if all EMAs are aligned (green for uptrend, red for downtrend), which is visible in the EMA dashboard. An alignment across VWAP, CPR, and EMAs signifies high confidence in trend direction.
Breakouts & Breakdowns: Mercury has an alert system to signal when a price breakout or breakdown occurs across VWAP, EMA1, and EMA2. This can help in spotting strong directional moves.
Example Application: In my trading, I use Mercury to identify support/resistance zones, confirming trends with EMA/VWAP alignment and using CPR as a checkpoint. I find this especially useful for day trading and swing setups.
Recommended Timeframes:
Day Trading: 5 to 15-minute charts for swift, actionable insights.
Swing Trading: 1-hour or 4-hour charts for broader trend analysis.
Note:
The Mercury Indicator should be used as a supportive tool rather than a standalone strategy, guiding you toward informed decisions in line with your trading style and goals.
EXAMPLE OF TRADE
you can see the cart of XAUUSD on 11th nov 2024
1.SHORT POSITION - TIME FRAME 15 MIN
So here for a short position you need to wait for a breakdown candle which will print in orange post the candle you need to check ema dashboard is completly red that indicates no traffic blocks in your journey to destiny target from ema's and you can take the target from nearest cpr support line
TAKEN IN XAUUSD you can see in chart of XAUUSD on 7th nov
2.LONG POSITION - TIME FRAME 15 MIN -
So here for long position you need to wait for a breakout candle from indicator thats here is blue and check all ema boxes are green and candle body should close above all the 3 lines here it is the both ema 1 and 2 and the vwap line then you can take and entry and your target will be the nearest resistance from the daily cpr
3. STOP LOSS CRITERIA
After the entry any candle close below any of the last line from entry for example we have 3 lines vwap and ema 1 and 2 lines and u have made an entry and the last line before the entry is vwap then if any candle closes below vwap can be considered as stoploss like wise in any lines
The MERCURY indicator is a comprehensive trading tool designed to enhance traders' ability to identify trends, breakouts, and reversals effectively. Created by Dr. Abhiram Sivprasad, this indicator integrates several technical elements, including Central Pivot Range (CPR), EMA crossovers, VWAP levels, and a table-based EMA dashboard, to offer a holistic trading view.
Core Components and Functionality:
Central Pivot Range (CPR):
The CPR in MERCURY provides a central pivot level along with Below Central (BC) and Top Central (TC) pivots. These levels act as potential support and resistance, useful for identifying reversal points and zones where price may consolidate.
Exponential Moving Averages (EMAs):
MERCURY includes up to nine EMAs, with a customizable EMA crossover alert system. This feature enables traders to see shifts in trend direction, especially when shorter EMAs cross longer ones.
VWAP (Volume-Weighted Average Price):
VWAP is incorporated as a dynamic support/resistance level and, combined with EMA crossovers, helps refine entry and exit points for higher probability trades.
Breakout and Breakdown Alerts:
MERCURY monitors conditions for upside and downside breakouts. For an upside breakout, all EMAs turn green and a candle closes above VWAP, EMA1, and EMA2. Similarly, all EMAs turning red, combined with a close below VWAP and EMA1/EMA2, signals a downside breakdown. Continuous alerts are available until the trend shifts.
Real-Time EMA Dashboard:
A table displays each EMA’s relative position (Above or Below), helping traders quickly gauge trend direction. Colors in the table adjust to long/short conditions based on EMA alignment.
Usage Recommendations:
Trend Confirmation:
Use the CPR, EMA alignments, and VWAP to confirm uptrends and downtrends. The table highlights trends, making it easy to spot long or short setups at a glance.
Breakout and Breakdown Alerts:
The alert system is customizable for continuous notifications on critical price levels. When all EMAs align in one direction (green for long, red for short) and the close is above or below VWAP and key EMAs, the indicator confirms a breakout/breakdown.
Adaptable for Different Styles:
Day Trading: Traders can set shorter EMAs for quick insights.
Swing Trading: Longer EMAs combined with CPR offer insights into sustained trends.
Recommended Settings:
Timeframes: MERCURY is suitable for timeframes as low as 5 minutes for intraday traders, up to daily charts for trend analysis.
Symbols: Works across forex, stocks, and crypto. Adjust EMA lengths for asset volatility.
Example Strategy:
Long Entry: When the price crosses above CPR and closes above both EMA1 and EMA2.
Short Entry: When the price falls below CPR with a close below both EMA1 and EMA2.
Kalman Based VWAP [EdgeTerminal]Kalman VWAP is a different take on volume-weighted average price (VWAP) indicator where we enhance the results with Kalman filtering and dynamic wave visualization for a more smooth and improved trend identification and volatility analysis.
A little bit about Kalman Filter:
Kalman filtering (also known as linear quadratic estimation) is an algorithm that uses a series of measurements observed over time, including statistical noise and other inaccuracies, to produce estimates of unknown variables that tend to be more accurate than those based on a single measurement, by estimating a joint probability distribution over the variables for each time-step. The filter is constructed as a mean squared error minimiser, but an alternative derivation of the filter is also provided showing how the filter relates to maximum likelihood statistics
This indicator combines:
Volume-Weighted Average Price (VWAP) for institutional price levels
Kalman filtering for noise reduction and trend smoothing
Dynamic wave visualization for volatility zones
This creates a robust indicator that helps traders identify trends, support/resistance zones, and potential reversal points with high precision.
What makes this even more special is the fact that we use open price as a data source instead of usual close price. This allows you to tune the indicator more accurately when back testing it and generally get results that are closer to real time market data.
The math:
In case if you're interested in the math of this indicator, the indicator employs a state-space Kalman filter model:
State Equation: x_t = x_{t-1} + w_t
Measurement Equation: z_t = x_t + v_t
x_t is the filtered VWAP state
w_t is process noise ~ N(0, Q)
v_t is measurement noise ~ N(0, R)
z_t is the traditional VWAP measurement
The Kalman filter recursively updates through:
Prediction: x̂_t|t-1 = x̂_{t-1}
Update: x̂_t = x̂_t|t-1 + K_t(z_t - x̂_t|t-1)
Where K_t is the Kalman gain, optimally balancing between prediction and measurement.
Input Parameters
Measurement Noise: Controls signal smoothing (0.0001 to 1.0)
Process Noise: Adjusts trend responsiveness (0.0001 to 1.0)
Wave Size: Multiplier for volatility bands (0.1 to 5.0)
Trend Lookback: Period for trend determination (1 to 100)
Bull/Bear Colors: Customizable color schemes
Application:
I recommend using this along other indicators. This is best used for assets that don't have a close time, such as BTC but can be used with anything as long as the data is there.
With default settings, this works better for swing trades but you can adjust it for day trading as well, by adjusting the lookback and also process noise.
Volume Flow ConfluenceVolume Flow Confluence (CMF-KVO Integration)
Core Function:
The Volume Flow Confluence Indicator combines two volume-analysis methods: Chaikin Money Flow (CMF) and the Klinger Volume Oscillator (KVO). It displays a histogram only when both indicators align in their respective signals.
Signal States:
• Green Bars: CMF is positive (> 0) and KVO is above its signal line
• Red Bars: CMF is negative (< 0) and KVO is below its signal line
• No Bars: When indicators disagree
Technical Components:
Chaikin Money Flow (CMF):
Measures the relationship between volume and price location within the trading range:
• Calculates money flow volume using close position relative to high/low range
• Aggregates and normalizes over specified period
• Default period: 20
Klinger Volume Oscillator (KVO):
Evaluates volume in relation to price movement:
• Tracks trend changes using HLC3
• Applies volume force calculation
• Uses two EMAs (34/55) with a signal line (13)
Practical Applications:
1. Signal Identification
- New colored bars after blank periods show new agreement between indicators
- Color intensity differentiates new signals from continuations
- Blank spaces indicate lack of agreement
2. Trend Analysis
- Consecutive colored bars show continued indicator agreement
- Transitions between colors or to blank spaces show changing conditions
- Can be used alongside other technical analysis tools
3. Risk Considerations
- Signals are not predictive of future price movement
- Should be used as one of multiple analysis tools
- Effectiveness may vary across different markets and timeframes
Technical Specifications:
Core Algorithm
CMF = Σ(((C - L) - (H - C))/(H - L) × V)n / Σ(V)n
KVO = EMA(VF, 34) - EMA(VF, 55)
Where VF = V × |2(dm/cm) - 1| × sign(Δhlc3)
Signal Line = EMA(KVO, 13)
Signal Logic
Long: CMF > 0 AND KVO > Signal
Short: CMF < 0 AND KVO < Signal
Neutral: All other conditions
Parameters
CMF Length = 20
KVO Fast = 34
KVO Slow = 55
KVO Signal = 13
Volume = Regular/Actual Volume
Data Requirements
Price Data: OHLC
Volume Data: Required
Minimum History: 55 bars
Recommended Timeframe: ≥ 1H
Credits:
• Marc Chaikin - Original CMF development
• Stephen Klinger - Original KVO development
• Alex Orekhov (everget) - CMF script implementation
• nj_guy72 - KVO script implementation
Reptile Candle Marker with ArrowsReptile Candle Marker
The Reptile Candle Marker is a custom indicator designed to identify a specific pattern in price action, known as the "reptile candle." This pattern is characterized by a small body with long wicks on both the upper and lower sides. These candles often indicate indecision or a reversal in the market, making them useful for traders looking for potential turning points.
Key Features:
Small Body and Large Wicks: The indicator highlights candles with a small body relative to the overall candle range, accompanied by long upper and lower wicks. This is achieved by comparing the size of the wicks to the body and the overall candle range.
Volume Confirmation: The indicator ensures that the identified candles are accompanied by high volume, which serves as confirmation of the significance of the price action.
Visual Highlighting: When a "reptile" candle is detected, the body of the candle and the wicks are both colored yellow. This allows for easy identification on the chart.
Custom Wick Lines: To ensure the wicks stand out, the indicator draws yellow lines above and below the candles, representing the upper and lower wicks. These lines remain fixed in place even as the chart is scaled or moved.
How It Works:
The indicator identifies candles where:
The upper wick is longer than the body by a specified ratio.
The lower wick is longer than the body by the same ratio.
The candle's body size is small compared to the total candle range (less than 30% of the range).
The volume is significantly higher than the 20-period moving average volume, indicating increased market activity.
When these conditions are met, the indicator marks the candle by coloring its body and wicks yellow. Additionally, it draws custom yellow wick lines to visually represent the wick size.
How to Use:
This indicator is designed to highlight potential reversal points or periods of indecision in the market. Traders can use it to spot possible turning points, especially when accompanied by other technical analysis tools such as support/resistance levels or trend indicators.
Customizable Parameters:
Wick to Body Ratio: Controls the sensitivity for detecting large wicks relative to the candle body.
Volume Factor: Adjusts the threshold for identifying candles with significantly higher volume than the moving average.
Custom AO with Open Difference**Custom AO with Open Difference Indicator**
This indicator, *Custom AO with Open Difference*, is designed to help confirm trend direction based on the relationship between the daily open price and recent 4-hour open prices. It calculates the Awesome Oscillator (AO) based on the difference between the daily open price and the average of the previous six 4-hour open prices. This approach provides insight into whether the current open price is significantly diverging from recent short-term opens, which can indicate a trend shift or continuation.
### Technical Analysis and Features
1. **Trend Confirmation**: By comparing the daily open with the mean of six previous 4-hour open prices, this indicator helps identify trends. When the current daily open is below the average of recent opens, the AO value will plot as green, signaling potential upward momentum. Conversely, if the daily open is above the recent average, the histogram will plot red, suggesting possible downward momentum.
2. **Non-Repainting**: Since it relies on completed 4-hour and daily open prices, this indicator does not repaint, ensuring that all values remain fixed after the close of each period. This non-repainting feature makes it suitable for backtesting and reliable for trend confirmation without fear of historical changes.
3. **AO Mean Calculation**: The indicator calculates the average of six previous 4-hour open prices, providing a smoothed value to reduce short-term noise. This helps in identifying meaningful deviations, making the AO values a more stable basis for trend determination than using just the latest 4-hour or daily open.
4. **Histogram for Visual Clarity**: The indicator is displayed as a histogram, making it easy to identify trend changes visually. If the AO bar turns green, it’s a signal that the 4-hour average is below the daily open, suggesting an uptrend or bullish momentum. Red bars indicate that the daily open is above the recent 4-hour averages, potentially signaling a downtrend or bearish momentum.
### Practical Application
The *Custom AO with Open Difference* is a versatile tool for confirming the open price trend without needing complex oscillators or lagging indicators. Traders can use this tool to gauge the market sentiment by observing open price variations and use it as a foundation for decision-making in both short-term and daily timeframes. Its non-repainting nature adds reliability for traders using this indicator as part of a broader trading strategy.
First 5 Minutes Open/Close LinesThis very simple indicator paints lines at the high and low of the first 5m candle of the session. It is primarily intended for big cap NYSE traded stocks with high volume. I wrote this indicator to save me the trouble of manually drawing the lines each day.
The lines drawn at the 5m high/low will remain constant regardless of which timeframe you switch to. In the example screenshot, we are looking at the 1m timeframe. This helps us switch effortlessly between different timeframes to see if a given price movement meets our entry criteria.
In addition to drawing lines at the first 5m high/low, it will optionally paint two zones, one each around the high and low. The boundaries of this zone are configurable and expressed as a percentage of the total movement of the first 5m bar. By default, it is set to 25%.
This indicator is based on the concept that the first 5m bar always has massive volume which helps us infer that price may react around the extremes of that movement. The basic strategy works something like this:
- You identify the high timeframe (HTF) trend direction of the stock
- You wait for the first 5m candle of the session to close
- You wait for price to puncture through the outer boundary of the zone marked by the indicator.
- You enter when price retraces to the high, or low, which marks the midpoint of the punctured zone.
- Only enter long on stocks in a HTF uptrend, and short on stocks in an HTF downtrend.
- Use market structure to identify stop loss and take profit targets
Note: Use at your own risk. This indicator and the strategy described herein are not in any way financial advice, nor does the author of this script make any claims about the effectiveness of this strategy, which may depend highly on the discretion and skill of the trader executing it, among many other factors outside of the author's control. The author of this script accepts no liability, and is not responsible for any trading decisions that you may or may not make as a result of this indicator. You should expect to lose money if using this indicator.
