MTF Market State DashboardA multi-timeframe market context dashboard designed to classify market conditions using three independent analytical layers: Trend direction, Trend strength and Participation / Volume flow
Instead of relying on a single indicator or isolated signal, this script combines multiple forms of market information into a structured decision framework intended to help traders evaluate the quality and maturity of a market condition.
The goal of the dashboard is not to predict tops or bottoms, but to help identify:
• aligned market conditions
• conflicting conditions
• strengthening trends
• weakening trends
• and low-conviction environments
Core Idea Behind The Script
Many indicators work well in certain environments and poorly in others.
For example:
• Trend indicators may continue showing bullish conditions during weakening momentum.
• Momentum indicators may react aggressively inside consolidations.
• Volume indicators may show temporary spikes without broader trend confirmation.
This script was built to reduce that fragmentation by separating market behavior into three independent layers:
1. Direction
Defines where the market is currently biased.
2. Strength
Measures whether the move has enough momentum to sustain itself.
3. Participation
Evaluates whether price movement is supported by broader volume-flow behavior.
The dashboard then combines these layers into a unified market-state classification system.
What The Dashboard Tracks
1. Trend Structure Layer
The script evaluates directional bias using:
EMA 200
Used as the higher-level directional filter.
Typical interpretation:
• Price above EMA 200 → bullish macro bias
• Price below EMA 200 → bearish macro bias
EMA 50
Tracks intermediate trend behavior and shorter-term structural changes.
Supertrend
Used as a dynamic trend confirmation layer.
Unlike a static moving average, the Supertrend adapts to volatility and helps identify directional transitions more quickly.
Each trend component is displayed as:
• BULL
• BEAR
along with an “age” value showing how many bars have passed since the last state change.
This allows traders to distinguish between:
• fresh transitions
• mature trends
• and potentially exhausted conditions
2. Trend Strength Layer
ADX (via DMI)
ADX is used to measure trend strength, not trend direction.
Typical interpretation:
• Low ADX → weak or ranging environment
• Rising / high ADX → stronger directional environment
This distinction matters because bullish conditions inside weak trend environments often behave differently from bullish conditions inside expanding trends.
The script uses ADX as a confirmation filter inside the Market State logic.
3. Participation & Volume-Flow Layer
This layer attempts to measure whether directional movement is being supported by participation and flow behavior.
CMF (Chaikin Money Flow)
CMF estimates buying versus selling pressure by evaluating closing location relative to range and volume.
General interpretation:
• Positive CMF → accumulation pressure
• Negative CMF → distribution pressure
CDV (Cumulative Delta Volume Proxy)
Pine Script does not provide true bid/ask delta data.
This script therefore uses a candle-based directional volume proxy to estimate cumulative directional participation.
The CDV layer classifies conditions as:
• Rising
• Falling
• Neutral
Adaptive filtering is included to reduce minor fluctuations and noise.
OBV Breakout Detection
The script also evaluates whether On-Balance Volume is breaking above or below recent ranges.
This is used to identify:
• expanding participation
• weakening participation
• or neutral flow conditions
The OBV component is not intended as a standalone signal generator, but rather as an additional confirmation layer inside the broader market-state framework.
Market State Classification
One of the main purposes of the script is to convert multiple independent readings into a simplified market-state output.
The dashboard derives a “Market State” by combining:
• Trend direction
• Trend strength
• Participation / flow confirmation
Possible classifications include:
• Strong Bull Context
• Bull Context
• Mixed / Wait
• Bear Context
• Strong Bear Context
The classification is not predictive and should not be interpreted as financial advice.
Instead, it is intended to provide a structured summary of current market conditions.
How Market State Is Derived
The logic combines three internal scoring groups:
Trend Score
Built from:
• EMA 200 state
• EMA 50 state
• Supertrend state
Participation Score
Built from:
• CMF bias
• CDV direction
• OBV breakout state
Strength Filter
Built from:
• ADX threshold validation
Example:
• bullish trend structure
• bullish participation
• and strong ADX
→ may classify as “Strong Bull Context”
Whereas:
• bullish trend structure
• weak participation
• and weak ADX
→ may classify as “Mixed / Wait”
This allows the dashboard to identify agreement and disagreement between independent analytical layers.
Multi-Timeframe Logic
The script supports:
• single timeframe mode
• dual timeframe mode
Typical usage example:
• Lower timeframe → execution context
• Higher timeframe → broader directional context
This allows traders to compare:
• local conditions
• against higher timeframe structure
without switching charts repeatedly.
Age Tracking
Each directional state includes an “age” measurement representing the number of bars since the last directional transition.
This is included because newer transitions and older trends may behave differently.
Example:
• Low age → newer condition
• High age → more mature condition
The script does not assume older trends will reverse, but age can provide additional context about trend maturity.
Practical Interpretation
Example: Higher-Conviction Bullish Environment
Possible characteristics:
• EMA structure bullish
• Supertrend bullish
• ADX elevated
• CMF positive
• CDV rising
• OBV breakout bullish
This may indicate alignment between:
• trend
• momentum
• and participation
Example: Mixed Environment
Possible characteristics:
• bullish EMA structure
• falling CDV
• weak ADX
• neutral OBV behavior
This may indicate:
• weakening momentum
• transition behavior
• or lower-conviction conditions
Intended Usage
The script is designed as:
• a context tool
• a filtering framework
• and a market-state dashboard
It is not intended to replace:
• risk management
• execution models
• or broader trading plans
The dashboard is generally most useful when combined with:
• breakout systems
• pullback systems
• trend-following models
• or discretionary execution methods
Customization Options
The script includes:
• 1TF / 2TF modes
• configurable EMA lengths
• Supertrend settings
• ADX threshold controls
• CDV sensitivity adjustment
• OBV breakout lookback settings
• Table themes
• Text sizing
• Dashboard positioning
Notes
• CDV uses a candle-based proxy because true bid/ask delta data is unavailable in Pine Script.
• The dashboard focuses on contextual interpretation rather than direct entry signals.
• The Market State classification is derived from internal scoring logic and should be interpreted as a contextual summary, not a prediction engine.
Summary
This dashboard was designed to organize multiple forms of market information into a single structured framework.
Rather than treating trend, momentum, and participation separately, the script attempts to evaluate how they interact with each other across one or more timeframes.
The result is a compact market-context tool intended to help traders:
• identify alignment
• recognize conflict
• filter weaker conditions
• and evaluate overall market structure more efficiently.
Indicator
AG Pro Chaikin Money Flow Pressure [AGPro Series]AG Pro Chaikin Money Flow Pressure
Overview / What it does
AG Pro Chaikin Money Flow Pressure is a chart-overlay indicator built to translate Chaikin Money Flow behavior into a more structured view of buying and selling pressure on the price chart itself. Instead of presenting CMF only as a standalone oscillator around a zero line, this script converts money-flow behavior into visible pressure zones, a backbone line, selective event labels, and a compact decision panel. The goal is to make pressure conditions easier to read in context with price rather than in a separate pane.
The script is designed to help users judge whether positive or negative money-flow pressure is merely appearing, becoming more persistent, expanding with price support, or losing quality. In practical terms, it focuses on how pressure behaves through time, not only on whether CMF is above or below zero on a single bar. This distinction is important because many CMF readings are technically positive or negative while still being structurally weak, transitional, or unstable.
This publication is an indicator, not a strategy. It does not place orders, does not simulate broker execution, and does not claim to predict future price direction. Its purpose is to organize CMF-derived pressure information into a chart-readable framework that can be used for analysis, filtering, or confluence with a user’s existing process.
Unique Edge
The distinctive design choice in this script is that it treats Chaikin Money Flow as a pressure-structure input rather than as a simple zero-cross oscillator. The script evaluates pressure using a combination of directional bias, persistence, slope behavior, and exhaustion characteristics, then maps those conditions into an overlay format.
That makes it materially different from tools that focus primarily on:
- classic CMF zero-line interpretation,
- MFI-style overbought/oversold framing,
- OBV-style cumulative flow interpretation,
- divergence-first logic,
- or trend/momentum tools that derive most of their signal from price structure rather than money-flow persistence.
Within the broader AG Pro catalog, some scripts are centered on momentum, reaction quality, divergence behavior, or trend-state interpretation. This one is specifically built around CMF-derived pressure persistence. In other words, it is less about identifying a single trigger event and more about showing whether accumulation or distribution pressure is building, holding, fading, or reverting toward balance.
Methodology
The script begins with the standard Chaikin Money Flow foundation: money flow is derived from the close’s location within the bar range and weighted by volume across the selected CMF lookback. That raw series can then be smoothed to reduce short-term noise.
From there, the script classifies pressure through several layers:
1) Bias
Positive and negative CMF conditions establish the directional pressure side. This is the base layer, but it is not used alone.
2) Persistence
The script tracks how long positive or negative pressure has been maintained. Short-lived readings are treated differently from more persistent runs.
3) Expansion
The slope of the smoothed CMF series helps distinguish strengthening pressure from flatter or compressing conditions.
4) Exhaustion risk
When pressure remains extended but begins to weaken internally, the script can shift into a fading or exhaustion-sensitive interpretation instead of treating every positive or negative reading as equally strong.
These components are then summarized into:
- a state,
- a phase,
- a pressure score,
- a backbone-based pressure map,
- and selective event labels.
The overlay uses an EMA backbone and ATR-scaled zones to visualize where pressure is concentrated around price. Outer and core zones help separate broad pressure environment from tighter pressure concentration. A lightweight bridge effect is used to connect confirmed pressure conditions to price in a restrained way so the visual hierarchy remains readable.
Signals & Alerts
The script uses a state/condition framework rather than a direct buy/sell promise.
Core states include:
- Accumulation
- Distribution
- Balanced
- Exhaustion Risk
Phase interpretation includes:
- Building
- Holding
- Fading
- Neutral
Selective chart labels are intentionally limited to higher-quality transitions such as:
- ACCUM
- DIST
- FADE
- FLIP
Available alert conditions are designed around pressure behavior, not outcome guarantees:
- Pressure Building
- Pressure Holding
- Pressure Weakening
- Pressure Flip Risk
- Accumulation Regime Confirmed
- Distribution Regime Confirmed
These alerts are best understood as structural notifications about pressure behavior. They are not instructions to enter or exit positions by themselves.
Key Inputs
Important settings include:
- CMF Length: controls the main money-flow lookback.
- CMF Smoothing: reduces noise in the base CMF series.
- Neutral Band: defines when pressure is treated as balanced rather than directional.
- Strong Pressure Band: helps scale the pressure score and zone intensity.
- Exhaustion Band: helps identify stretched but weakening pressure conditions.
- Persistence Confirmation Bars: sets how long pressure should persist before confirmation.
- Backbone EMA Length: controls the central overlay structure.
- ATR settings: control the width of the pressure zones.
- Label filters and cooldowns: reduce repeated labels and keep the chart cleaner.
These inputs allow users to make the script more responsive or more selective depending on timeframe, asset behavior, and chart density.
Limitations & Transparency
This script does not measure real order-book flow, exchange-specific footprint data, or trade-by-trade delta. It is a CMF-based analytical model built from OHLCV data available on PulseWire. As with any derived indicator, its output depends on the quality and characteristics of the underlying market data.
The pressure score is not a prediction score and should not be interpreted as a probability of success. It is a normalized summary of current pressure quality based on the script’s internal framework. A higher score means the current pressure structure is stronger by the script’s rules; it does not mean the next move is guaranteed.
Like other pressure or flow-based tools, this script can become less reliable in choppy, thin, or event-driven conditions where pressure quickly alternates and persistence breaks down. It should also be expected that different assets and timeframes will respond differently to the same parameter set. Users should evaluate settings in the market context where they intend to use the indicator.
This publication is meant to explain what the script measures and how it organizes that information. It is not presented as a black-box promise, and it is not intended to replace independent chart reading, risk control, or broader market context.
Risk Disclosure
This script is provided for educational and analytical use. It does not constitute financial advice, investment advice, or a solicitation to buy or sell any financial instrument. No indicator can remove uncertainty from markets, and no visual state, score, zone, or alert should be treated as a guarantee of future results.
Users should make their own decisions, test their own process, and apply appropriate risk management. This tool is best used as a structured market-reading aid and as part of a broader analytical framework rather than as a standalone decision engine. Indicator
Chaikin Money FlowThis indicator provides an implementation of the classic Chaikin Money Flow (CMF), a volume-weighted oscillator designed to measure money flow pressure. It is enhanced with a customizable signal line and a built-in divergence detection engine.
Key Features:
Full Divergence Suite (Class A, B, C): The primary feature is the integrated divergence engine. It automatically detects and plots all three major types of divergences:
Regular (A): Signals potential trend reversals.
Hidden (B): Signals potential trend continuations.
Exaggerated (C): Signals weakness at double tops/bottoms.
Divergence Filtering and Visualization:
Price Tolerance Filter: Divergence detection is enhanced with a percentage-based price tolerance (pivPrcTol) to filter out insignificant market noise, leading to more robust signals.
Persistent Visualization: Divergence markers are plotted for the entire duration of the signal and are visually anchored to the CMF level of the confirming pivot.
Customizable Signal Line: Includes an optional moving average of the CMF, which serves as a signal line. The type of MA (Signal Smoothing) and its length can be customized. This signal line can also be optionally volume-weighted (Volume weighted).
Note on Confirmation (Lag): Divergence signals rely on a pivot confirmation method to ensure they do not repaint.
The Start of a- divergence is only detected after the confirming pivot is fully formed (a delay based on Pivot Right Bars).
The End of a divergence is detected either instantly (if the signal is invalidated by price action) or with a delay (when a new, non-divergent pivot is confirmed).
Multi-Timeframe (MTF) Capability:
MTF CMF & Signal Lines: The CMF and its signal line can be calculated on a higher timeframe, with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Divergence detection engine (pivDiv) is disabled if a timeframe other than the chart's timeframe is selected. Divergences are only calculated on the active chart timeframe.
Integrated Alerts: Includes 16 comprehensive alerts for:
The start and end of all 6 divergence types.
The CMF crossing its signal line.
The CMF crossing the zero line.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration. Indicator
CMF, RSI, CCI, MACD, OBV, Fisher, Stoch RSI, ADX (+DI/-DI)Eight normalized indicators are used in conjunction with the CMF, CCI, MACD, and Stoch RSI indicators. You can track buy and sell decisions by tracking swings. The zero line is for reversal tracking at -20, +20, +50, and +80. You can use any of the nine indicators individually or in combination. Indicator
Volume-Weighted Money Flow [sgbpulse]Overview
The VWMF indicator is an advanced technical analysis tool that combines and summarizes five leading momentum and volume indicators (OBV, PVT, A/D, CMF, MFI) into one clear oscillator. The indicator helps to provide a clear picture of market sentiment by measuring the pressure from buyers and sellers. Unlike single indicators, VWMF provides a comprehensive view of market money flow by weighting existing indicators and presenting them in a uniform and understandable format.
Indicator Components
VWMF combines the following indicators, each normalized to a range of 0 to 100 before being weighted:
On-Balance Volume (OBV): A cumulative indicator that measures positive and negative volume flow.
Price-Volume Trend (PVT): Similar to OBV, but incorporates relative price change for a more precise measure.
Accumulation/Distribution Line (A/D): Used to identify whether an asset is being bought (accumulated) or sold (distributed).
Chaikin Money Flow (CMF): Measures the money flow over a period based on the close price's position relative to the candle's range.
Money Flow Index (MFI): A momentum oscillator that combines price and volume to measure buying and selling pressure.
Understanding the Normalized Oscillators
The indicator combines the five different momentum indicators by normalizing each one to a uniform range of 0 to 100 .
Why is Normalization Important?
Indicators like OBV, PVT, and the A/D Line are cumulative indicators whose values can become very large. To assess their trend, we use a Moving Average as a dynamic reference line . The Moving Average allows us to understand whether the indicator is currently trending up or down relative to its average behavior over time.
How Does Normalization Work?
Our normalization fully preserves the original trend of each indicator.
For Cumulative Indicators (OBV, PVT, A/D): We calculate the difference between the current indicator value and its Moving Average. This difference is then passed to the normalization process.
- If the indicator is above its Moving Average, the difference will be positive, and the normalized value will be above 50.
- If the indicator is below its Moving Average, the difference will be negative, and the normalized value will be below 50.
Handling Extreme Values: To overcome the issue of extreme values in indicators like OBV, PVT, and the A/D Line , the function calculates the highest absolute value over the selected period. This value is used to prevent sharp spikes or drops in a single indicator from compromising the accuracy of the normalization over time. It's a sophisticated method that ensures the oscillators remain relevant and accurate.
For Bounded Indicators (CMF, MFI): These indicators already operate within a known range (for example, CMF is between -1 and 1, and MFI is between 0 and 100), so they are normalized directly without an additional reference line.
Reference Line Settings:
Moving Average Type: Allows the user to choose between a Simple Moving Average (SMA) and an Exponential Moving Average (EMA).
Volume Flow MA Length: Allows the user to set the lookback period for the Moving Average, which affects the indicator's sensitivity.
The 50 line serves as the new "center line." This ensures that, even after normalization, the determination of whether a specific indicator supports a bullish or bearish trend remains clear.
Settings and Visual Tools
The indicator offers several customization options to provide a rich analysis experience:
VWMF Oscillator (Blue Line): Represents the weighted average of all five indicators. Values above 50 indicate bullish momentum, and values below 50 indicate bearish momentum.
Strength Metrics (Bullish/Bearish Strength %): Two metrics that appear on the status line, showing the percentage of indicators supporting the current trend. They range from 0% to 100%, providing a quick view of the strength of the consensus.
Dynamic Background Colors: The background color of the chart automatically changes to bullish (a blue shade by default) or bearish (a default brown-gray shade) based on the trend. The transparency of the color shows the consensus strength—the more opaque the background, the more indicators support the trend.
Advanced Settings:
- Background Color Logic: Allows the user to choose the trigger for the background color: Weighted Value (based on the combined oscillator) or Strength (based on the majority of individual indicators).
- Weights: Provides full control over the weight of each of the five indicators in the final oscillator.
Using the Data Window
PulseWire provides a useful Data Window that allows you to see the exact numerical values of each normalized oscillator separately, in addition to the trend strength data.
You can use this window to:
Get more detailed information on each indicator: Viewing the precise numerical data of each of the five indicators can help in making trading decisions.
Calibrate weights: If you want to manually adjust the indicator weights (in the settings menu), you can do so while tracking the impact of each indicator on the weighted oscillator in the Data Window.
The indicator's default setting is an equal weight of 20% for each of the five indicators.
Alert Conditions
The indicator comes with a variety of built-in alerts that can be configured through the PulseWire alerts menu:
VWMF Cross Above 50: An alert when the VWMF oscillator crosses above the 50 line, indicating a potential bullish momentum shift.
VWMF Cross Below 50: An alert when the VWMF oscillator crosses below the 50 line, indicating a potential bearish momentum shift.
Bullish Strength: High But Not Absolute Consensus: An alert when the bullish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bullish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bullish strength, indicating a full and absolute consensus.
Bearish Strength: High But Not Absolute Consensus: An alert when the bearish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bearish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bearish strength, indicating a full and absolute consensus.
Summary
The VWMF indicator is a powerful, all-in-one tool for analyzing market momentum, money flow, and sentiment. By combining and normalizing five different indicators into a single oscillator, it offers a holistic and accurate view of the market's underlying trend. Its dynamic visual features and customizable settings, including the ability to adjust indicator weights, provide a flexible experience for both novice and experienced traders. The built-in alerts for momentum shifts and trend consensus make it an effective tool for spotting trading opportunities with confidence. In essence, VWMF distills complex market data into clear, actionable signals.
Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
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VolumeIndicatorsLibrary "VolumeIndicators"
This is a library of 'Volume Indicators'.
It aims to facilitate the grouping of this category of indicators, and also offer the customized supply of the source, not being restricted to just the closing price.
Indicators:
1. Volume Moving Average (VMA):
Moving average of volume. Identify trends in trading volume.
2. Money Flow Index (MFI): Measures volume pressure in a range of 0 to 100.
Calculates the ratio of volume when the price goes up and when the price goes down
3. On-Balance Volume (OBV):
Identify divergences between trading volume and an asset's price.
Sum of trading volume when the price rises and subtracts volume when the price falls.
4. Accumulation/Distribution (A/D):
Identifies buying and selling pressure by tracking the flow of money into and out of an asset based on volume patterns.
5. Chaikin Money Flow (CMF):
A variation of A/D that takes into account the daily price variation and weighs trading volume accordingly.
6. Volume Oscillator (VO):
Identify divergences between trading volume and an asset's price. Ratio of change of volume, from a fast period in relation to a long period.
7. Positive Volume Index (PVI):
Identify the upward strength of an asset. Volume when price rises divided by total volume.
8. Negative Volume Index (NVI):
Identify the downward strength of an asset. Volume when price falls divided by total volume.
9. Price-Volume Trend (PVT):
Identify the strength of an asset's price trend based on its trading volume. Cumulative change in price with volume factor
vma(length, maType, almaOffset, almaSigma, lsmaOffSet)
@description Volume Moving Average (VMA)
Parameters:
length : (int) Length for moving average
maType : (int) Type of moving average for smoothing
almaOffset : (float) Offset for Arnauld Legoux Moving Average
almaSigma : (float) Sigma for Arnauld Legoux Moving Average
lsmaOffSet : (float) Offset for Least Squares Moving Average
Returns: (float) Moving average of Volume
mfi(source, length)
@description MFI (Money Flow Index).
Uses both price and volume to measure buying and selling pressure in an asset.
Parameters:
source : (float) Source of series (close, high, low, etc.)
length
Returns: (float) Money Flow series
obv(source)
@description On Balance Volume (OBV)
Same as ta.obv(), but with customized type of source
Parameters:
source : (float) Series
Returns: (float) OBV
ad()
@description Accumulation/Distribution (A/D)
Returns: (float) Accumulation/Distribution (A/D) series
cmf(length)
@description CMF (Chaikin Money Flow).
Measures the flow of money into or out of an asset over time, using a combination of price and volume, and is used to identify the strength and direction of a trend.
Parameters:
length
Returns: (float) Chaikin Money Flow series
vo(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet)
@description Volume Oscillator (VO)
Parameters:
shortLen : (int) Fast period for volume
longLen : (int) Slow period for volume
maType : (int) Type of moving average for smoothing
almaOffset
almaSigma
lsmaOffSet
Returns: (float) Volume oscillator
pvi(source)
@description Positive Volume Index (PVI)
Same as ta.pvi(), but with customized type of source
Parameters:
source : (float) Series
Returns: (float) PVI
nvi(source)
@description Negative Volume Index (NVI)
Same as ta.nvi(), but with customized type of source
Parameters:
source : (float) Series
Returns: (float) PVI
pvt(source)
@description Price-Volume Trend (PVT)
Same as ta.pvt(), but with customized type of source
Parameters:
source : (float) Series
Returns: (float) PVI Library
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SQZ Multiframe StrategyThis is a first attempt to automate what my current strategy when trading is.
It uses 2 timeframes: the one you are currently using to see the chart and an "anchor trend" which is a higher order frame.
Supported timeframes are: 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W
The Strategy relies on two indicators:
Squeeze Momentum Indicator
CMF
How does it works?
It looks for a moment when the following conditions are met.
For Long:
Positive directionality in SQZM monitor in anchor timeframe
Positive directionality in SQZM monitor in current timeframe
Recent minimum in CMF
For Short:
Negative directionality in SQZM monitor in anchor timeframe
Negative directionality in SQZM monitor in current timeframe
Recent maximum in CMF
After a BUY or SELL order is executed the plot will start showing two lines: A TP line, and a SL line.
The TP and SL move dynamically based on a greedy algorithm based on 3 input parameters.
Min Profit to Start Moving SL (%): Sets an initial target for the trade.
Maximum Possible of SL (%): This is the maximum amount possible for SL. If volatility is not too high, a shorter SL will be chosen based on Kaufman's Stops method
Take profit factor: Is how much portion of the target I am taking as profit once the target is reached
Example for 5% Min profit:
When the first target is reached (+5%), the SL will be updated to 2.5% over the enter price.
When the second target is reached (+10%), the SL will be updated to 5% over the enter price.
Note: The strategy might abandon the position prematurely if a contrary signal is received while the trade is opened, and will change direction.
The Strategy has been backtested mostly for crypto. It might be good for stocks too, but the parameters mentioned might need some adjustments since price moves at a different rate.
Recommended timeframe is 4H for BTC , and 30min/1H for alts.
Comments and ideas are more than welcome! Strategy
Indicator
Full strategy Psar+ adx + cmf + rsi This ia full strategy made with a combination of a trender, volume, volatility and oscillator.
In this case we only go long.
Indicators used:
Default PSAR
Default CMF
Modified RSI logic, not using OB/OS
ADX with EMA applied
The rules are : we check if we are in a uptrend on psar, together with a positive value in volume, rsi is above the middle line(50), using a big length, and lastly the ADx is superior to the ema ADx
For exit, we check the opposite, like downtrend psar, negative value volume, rsi < 50, and adx < ema adx
If you have any questions let me know. Strategy
Vol Buy/Sell %s, CMF, and Stocahstic Osc & UOPlots % Buy / Sell Volume , Chaikin Money Flow , Stochastic Oscillator, and Ultimate Oscillator on same axis, bound -1 to 1.
Show Volume Percentage, displaying buying as green and positive, selling as red and negative.
Showing the CMF, with green / red fill for positive / negative values.
Modified Stochastic Oscillator, converting bounds to -1 and 1, moving overbought/sold to -0.6 and 0.6, accordingly. Green fill (buy signal) with %D below -0.6 and %K lower than %D. Red fill (sell signal) with %D above 0.6 and %K higher than %D. Fill is between %D and bound, to be more visible.
Modified Ultimate Oscillator, converting bounds to -1 and 1, moving overbought/sold to -0.6 and 0.6, accordingly. Indicator
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Indicators all in oneHello Everyone . Sometimes we need some indicators and each one needs seperated window. with this tool we can see indicators by choosing it from pull down menu, in the same window.
Currently you can choose RSI, MACD, Commodity Channel Index (CCI), Momentum, Stochastic, Stochastic RSI, Directional Movement Index (DMI), Chaikin Money Flow (CMF), On-Balance Volume (OBV), Average True Range (ATR), Volume Weigthed MACD (VWMACD).
some screen shots:
DMI:
MACD:
Stochastic RSI
Let me know if you need any other indicator in this tool.
Enjoy! Indicator
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Average Indicators Positionsby this script you can see the average level of macd, macd-asprey, rsi, stochastic, cci, momentum, obv, DI, volume weighted macd, cmf indicators within a period. It also calculates and creates the same graph for higher time frame, so you can see average levels for current and higher time frame. you can also check it for divergence/convergence. You can use it as you wish and add/remove indicators. Indicator
