RSI and CMF V 1.0
Introduction: RSI and CMF
The Relative Strength Index (RSI) and Chaikin Money Flow (CMF) are two powerful tools for analyzing market behavior. Each serves a unique purpose and provides insights into different aspects of price action.
The RSI measures the speed and magnitude of price movements. By comparing recent gains to losses over a chosen period, it identifies overbought and oversold conditions in the market. RSI focuses solely on price and offers traders a quick glance at whether an asset is trending too high or too low relative to its recent performance.
On the other hand, the CMF evaluates market behavior by integrating both price and volume. It measures money flow to determine whether an asset is being accumulated (bullish) or distributed (bearish). Positive CMF values indicate buying pressure, while negative values signal selling pressure, making it an essential tool for volume-based analysis.
Our Innovation
Traditionally, indicators like the RSI and CMF are analyzed in separate panels, limiting their connection to the price chart itself. We’ve developed an innovative solution that combines the power of these two indicators, enabling traders to simultaneously measure both price movements and volume flow in a unified visualization. By mapping the RSI and CMF directly onto the price chart, our indicator provides a seamless way to observe and analyze how price momentum and money flow interact with the actual price action.
This integration of volume, price, and momentum into a single chart offers traders a comprehensive tool for deeper market insights and faster decision-making.
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Simple Settings Panel with Tooltips
Our indicator comes with an intuitive and user-friendly settings panel, designed for ease of use and full customization. Each input is accompanied by a tooltip to guide users through the settings and ensure clear understanding of their purpose.
Settings Overview
1. Enable RSI over Price:
Tooltip: "Toggle this option to enable or disable the RSI plotted on the price chart."
This setting allows users to control whether the RSI is displayed directly over the price chart.
2. RSI Length:
Default Value: 14
Tooltip: "Set the period for RSI calculation. Typical value is 14."
Adjusts the time period used for RSI calculations, affecting its sensitivity to price changes.
3. RSI Source:
Default Value: Close
Tooltip: "Choose the data source for RSI calculation, usually the closing price."
Allows users to specify which price data (e.g., close, open, high, low) is used in the RSI calculation.
4. Enable CMF over Price:
Tooltip: "Toggle this option to enable or disable the CMF mapped onto the price chart."
Controls the visibility of the CMF line on the price chart.
5. CMF Length:
Default Value: 20
Tooltip: "Set the period for CMF calculation. Typical value is 20."
Adjusts the time period used to compute the CMF, determining the volume-weighted money flow sensitivity.
Description of RSI and CMF Settings
RSI Settings:
The RSI Length determines how many periods are included in the RSI calculation. Shorter lengths make the RSI more reactive to price changes, while longer lengths smooth out fluctuations. The RSI Source provides flexibility in selecting the price input for calculation, which is typically the closing price by default.
CMF Settings:
The CMF Length defines how many periods are used to calculate the Chaikin Money Flow, enabling users to focus on short-term or long-term trends in money flow. Enabling the CMF over price ensures the relationship between volume and price action is visually evident on the price chart.
The Style Settings
panel allows users to customize the visual appearance of the indicator, ensuring clarity and alignment with their preferences. Users can independently adjust the line colors for RSI and CMF, with default settings of green for RSI and red for CMF, enabling a clear distinction between the two.
Additionally, the Fill between RSI and CMF option provides two customizable colors (Color 0 and Color 1) to represent the dynamic fill. This fill visually highlights the relationship between the RSI and CMF, enhancing the interpretability of their interaction on the price chart. The settings also include options to toggle precision, labels on the price scale, and values in the status line for added flexibility.
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How to Analyze with RSI and CMF V 1.0
The RSI and CMF V 1.0 indicator provides an intuitive and integrated approach to analyzing market trends, combining momentum and volume dynamics directly on the price chart. Its innovative mapping of RSI and CMF makes it easy to spot key trends and reversals with unmatched clarity.
Key Insights:
1. Dynamic Relationship Between RSI and CMF:
The indicator maps RSI (momentum-based) and CMF (volume-based) values onto the price chart. This makes it easier to analyze how price momentum aligns with money flow.
The color-coded fill highlights the strength of their relationship:
- Blue Fill: RSI is stronger than CMF, indicating price momentum leads the movement.
- Red Fill: CMF dominates RSI, reflecting the strength of volume flow.
2. Spotting Trends:
Uptrends: Consistent blue fills paired with RSI and CMF rising together suggest bullish momentum backed by strong volume.
Downtrends: Red fills with declining RSI and CMF signal bearish pressure driven by selling volume.
3. Reversals and Divergences:
Divergences between price action and the mapped RSI/CMF lines can signal potential reversals.
For instance, if price is rising but RSI and CMF are both falling, it could indicate weakening bullish momentum.
Ease of Use:
Color Coding: The dynamic fills (blue and red) allow for immediate visual identification of trend strength and direction, reducing analysis time.
Overlay on Price: By plotting directly on the price chart, traders don’t need to switch between multiple panels, ensuring the context remains clear.
Customizable Settings: Inputs for length, source, and enable/disable toggles make it adaptable for all trading styles and timeframes.
In conclusion, this indicator offers a visually clear and easy-to-understand way to combine momentum and volume analysis, empowering traders with actionable insights at a glance.
CMF
Auto Fibo on IndicatorsThis drawing tool aims to draw auto Fibonacci Retracement Levels on desired indicators.
Users can define the target indicator to draw Auto Fibo Lines, from the "settings tab":
There are six commonly used indicators below the charts that can be selected to draw Fibonacci Retracement lines on:
RSI : Relative Strength Index
CCI : Commodity Channel Index
MFI : Money Flow Index
STOCHASTIC : Stochastic Oscillator
CMF : Chaikin Money Flow
CMO : Chande Momentum Oscillator
Fibonacci Retracement Levels will appear automatically after applying the indicator.
The "Auto Fibo on Indicators" tool looks back. It checks the indicator levels for a desired number of bars and then draws the Fibonacci Levels automatically in the right way, considering the final movements of the indicator.
There are five commonly used Fibonacci Levels added between the Highest and Lowest values such as:
%23.6
%38.2
%50 (Not precisely a Fibonacci Level, indeed)
%61.8 (Golden Ratio)
%78.6
Four extra levels can be added from the settings tab by checking their boxes:
%127.2 (adjustable level)
%161.8
%261.8
%361.8
Default lookback bars of Auto Fibo Levels: 144 (which is also a Fibonacci number)
Default Indicator: RSI
Default Indicator length: 14
Default data source: CLOSE
Users can also define and show overbought and oversold levels by unchecking the "Do not Show Indicator Overbought / Oversold Levels?" button from the settings menu.
In technical analysis, Fibonacci Levels on price can guide valuable trading signals for investors.
Levels can be significant support and resistance levels for breakouts and turning points.
This drawing tool aims to follow those necessary levels on indicators to observe critical levels and breakouts.
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
GKD-C Chaikin Money Flow [Loxx]Giga Kaleidoscope Chaikin Money Flow is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is an NNFX algorithmic trading strategy?
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends.
4. Confirmation 2 - a technical indicator used to identify trends.
5. Continuation - a technical indicator used to identify trends.
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown.
7. Exit - a technical indicator used to determine when a trend is exhausted.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average as shown on the chart above
Volatility/Volume: Average Directional Index (ADX) as shown on the chart above
Confirmation 1: Chaikin Money Flow as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ Chaikin Money Flow
What is Chaikin Money Flow?
Chaikin Money Flow (CMF) developed by Marc Chaikin is a volume-weighted average of accumulation and distribution over a specified period. The standard CMF period is 21 days. The principle behind the Chaikin Money Flow is the nearer the closing price is to the high, the more accumulation has taken place.
Key point to remember. This indicator requires volume data for the ticker.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Additional features will be added in future releases.
This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
Macro Score -- User-Customized Scores and SignalsA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger. This particular strategy allows the user to choose between 18 different signals to be used in scoring as well as allowing the user to determine the individual weights of each score as well as the overall threshold to determine long or short signals. Weights for each score range between 1 and 5, with 5 being the greatest weight. The overall threshold for long or short is dependent on the total possible weights added together (i.e. if your weights total -10 or +10, a threshold within this range must be used).
The macro score itself is printed in an underlay as a white line that goes between the maximum positive and negative values for all weights added together for this strategy. In addition to the macro score line, a green momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score. The length of the Macro Score's momentum line can be found in the settings.
The current signals to choose from include:
- ADX Threshold - if the Average Directional Index is above a set threshold, signal positive or negative
- CMF Threshold - if the Chaikin Money Flow oscillator is above 0, signal positive; otherwise, signal negative
- CMO > TSI Signal - signal positive if there is a cross of the Chande Momentum Oscillator and the True Strength Index signal line
- CMO Threshold - if the Chande Momentum Oscillator is above 0, signal positive; otherwise, signal negative
- DPO Threshold - if the Detrended Price Oscillator is above 0, signal positive; otherwise, signal negative
- EOM Threshold - if the Ease of Money Oscillator is above 0, signal positive; otherwise, signal negative
- Jurik Threshold - if the Jurik price line (from the Jurik Volatility Bands) is above 0, signal positive; otherwise, signal negative
- MACD Threshold - if the MACD signal line is above 0, signal positive; otherwise, signal negative
- McGinley Cross - a crossover of a fast McGinley Dynamic length line and a slow McGinley Dynamic line signals positive; otherwise, signal negative
- PSAR - if the direction of the PSAR is heading long, signal positive; otherwise, signal negative
- ROC Threshold - if the Rate of Change oscillator is above 0, signal positive; otherwise, signal negative
- RSI Threshold - if the Relative Strength Index is above 50, signal positive; otherwise, signal negative
- Stoch RSI Threshold - if the Stoch RSI is above 50, signal positive; otherwise, signal negative
- Supertrend - if the Supertrend determines long, signal positive; otherwise, signal negative
- TSI Cross - a crossover of the True Strength Index value line and the TSI signal line signals positive; otherwise, signal negative
- TSI Signal Threshold - if the TSI signal line is above 0, signal positive; otherwise, signal negative
- Williams Alligator Cross - if the Williams Alligator lips cross the teeth and jaw, signal positive; otherwise, signal negative
- Williams %R - if the Williams %R is above -50, signal positive; otherwise, signal negative
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Sample setup for SOLUSDT 30M:
- Score 1 - Value 4, PSAR (0.05 start, 0.02 increment, 0.2 max value; sourced open)
- Score 2 - Value 4, Jurik Threshold (JVB Length 25, JVB Smoothing 6, JVB Price Threshold 0)
- Score 3 - Value 5, DPO Threshold (DPO Length 40, uncentered)
- Score 4 - Value 5, CMO Threshold (CMO Length 40, sourced open)
- Score 5 - Value 2, MACD Threshold (Fast Length 12, Slow Length 30, sourced open)
- Macro Length 21
- Long Threshold - -3
- Short Threshold - +3
- Take Profit % - 0.9/0.9
- Trail % - 0.005
- Stop Loss % - 1.4
Sample setup for AVAXUSDT 20M:
- Score 1 - Value 3, TSI Cross (Long Length 25, Short Length 16, Signal Length 17)
- Score 2 - Value 2, TSI Signal Threshold (same settings as the TSI Cross)
- Score 3 - Value 2, Jurik Threshold (JVB Length 20, JVB Smoothing 8, JVB Price Threshold 0)
- Score 4 - Value 2, DPO Threshold (DPO Length 40, uncentered)
- Score 5 - Value 1, Stoch Threshold (K/D 3, RSI (Stoch) Length 10, Stochastic Length 4, sourced open)
- Macro Length 13
- Long Threshold - +5
- Short Threshold - -5
- Take Profit % - 1.2/1.2
- Trail % - 0.005
- Stop Loss % - 1.5
Adaptive Fisherized CMFIntroduction
Heyo, here I made a normalized Chaikin Money Flow (CMF) indicator with Inverse Fisher Transform (IFT) and some smoothing techniques.
I had to normalize the indicator in order to fit it to the IFT range (-1 -> 1).
Moreover, the good old adaptive mode is also included in this indicator. It uses Ehlers superb dominant cycle techniques.
It also has divergence detection, several options for individualisation and doesn't repaint.
Usage
www.investopedia.com
Signals
CMF above 0 => bullish market
CMF below 0 => bearish market
(You can also use the inner bands instead of the zero line, to make these signals more precise)
Bullish regular/hidden divergence => long
Bearish regular/hidden divergence => short
Enjoy guys!
PS: I really would like to hear some feedback of you.
CMF Correlation CoeffThis overlays CMF of the underlying (solid histogram) and a CMF of the ticker you are comparing it too. The pink line is the correlation coefficient of both CMFs. Experiment/work in progress.
[MAD] CMF 5x MTF BTCthis is a revised classic CMF indicator, with some additional features
Features:
4 different Exchanges:Tickers (clouds).
your current exchanges:ticker (white)
an averaged cmf over all 5 tickers (black)
a selectable time frame for all tickers
3 buy and 3 sell lines (visual H-lines only)
autocentering over ghosts
color scheme is for a dark theme, change in settings if needed.
how to use:
act the crossins
when one or two cmfs move steeply into an h-line, when moving back to the middle they have their signal and do their own risk management.
sometimes really crazy things happen in small time frames (whalegames) that you can use as a tradestop and sit it out.
generally try to go with a bigger trend that give less but better results
MACD + CMF + EMA + Supertrend by TradeSmartHello everyone and welcome to our first script release!
This script is one of many upcoming scripts. This one is a test for us, how it works, how you guys like this kind of stuff, and for feedback what we should change/improve at.
SCRIPT IS OPTIMIZED FOR:
EUR/USD 30 MINUTE TIMEFRAME
Video of the Strategy:
Search for “MACD + CMF + 200 EMA + Supertrend Trading Strategy Tested 100 Times with Great Results!” on our channel.
In this video you can find the exact strategy we programmed, just one added feature: Supertrend trailing stop loss. (position gets closed once the price hits the Supertrend indicator)
Now you can modify the following:
MACD settings
Supertrend settings
EMA settings
CMF settings
We will update the script with more and more features.
The first update will be:
Modifiable risk to reward ratio.
I will make a video of how to use this indicator next week, explaining all the features and more!
Hope you like it! Don't forget to let us know what we should change or improve. Thanks, and have a great day!
STRATEGY ENTRY RULES
LONG
When CMF is above 0 and price is under EMA. Also MACD has made a double cross above the zero line (meaning one cross down and one cross up by the MACD line). Then go long!
Note:
MACD or Signal must return under 0 in order to start a new position
If either of the MACD lines touches the 0 line before entry, we skip the trade and wait for the next signal.
SHORT
When CMF is under 0 and price is under EMA. Also MACD has made a double cross under the zero line (meaning one cross up and one cross down by the MACD line). Then go short!
Note:
MACD or Signal must return under 0 in order to start a new position.
If either of the MACD lines touches the 0 line before entry, we skip the trade and wait for the next signal.
TAKE PROFIT
When price hits the exit price (calculated from stop loss with the risk ratio), then exit with 50% of the position. The other 50% will stay open until the price hits the supertrend or the base stop loss.
STOP LOSS
When price hits stop loss then exit the position. Stop loss is calculated from the Supertrend and it is a trailing one, meaning it changes based on the movement of the price.
QUANTITY TO BUY
The quantity to buy is based on the Risk Per Trade % attribute. This means that we can set how much money we want to risk on one trade. Meaning that if we lose that particular position, then a Risk Per Trade % value of our equity will be lost.
Example: if you set the Risk Per Trade % to 1 % and you have a 100$ account balance, then if you loose the trade you will loose 1$ max.
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!
Greed and Fear ScoreHi All,
This is Greed and Fear Score script. The uses of this indicator is to let users know what is the state for each bar closed.
Warren Buffett once said that it is wise for investors to be “fearful when others are greedy, and greedy when others are fearful.
Greed & Fear Score (range from 1 - 5) has taken multiple measurements into consideration such as CCI, MFI, RSI, RVI and William %R.
The range of score is from 1 - 5 indicating weak to strong.
Red/Yellow represents Greed score.
Blue/Light Blue represents Fear score.
The Bull & Bear Transition Score (range from 1 - 10) is to measure how strong power needed to reverse the Greed or Fear State.
It is a powerful tool that incorporates CMF, MFI, CCI, MOMENTUM, OBV, RSI, RVI, WILLIAN %R, PRICE OSCILLATOR and Relative Volume.
How to use Bull & Bear Transition Score?
The higher the Bull & Bear Score, the more likely it will change from one state to another.
How to find BEST opportunity? Here comes the special symbol.
User can choose best fit combination by using filtering.
Multi Timeframe Chaikin Money Flow [Takazudo]This study is intented to be used as a part of buy/sell strategy.
Smooth feature: enable this to make CMF line smooth using MA
Bg Highlight: highlights the background depending on the bull/bear condition
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.
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.
Chaikin Money Flow with Volume PercentsShowing the CMF, with green / red fill for positive / negative values, overlaid with Volume Percentage, displaying buying as green and positive, selling as red and negative.
Chaikin Money Flow IndicatorChaikin Money Flow (CMF) measures the amount of Money Flow Volume over a specific period, typically 20 or 21 days. The resulting indicator fluctuates above/below the zero line just like an oscillator.
Chaikin Money Flow sometimes only briefly crosses the zero line with a move that turns the indicator barely positive or negative. There is no follow-through and this zero line cross ends up becoming a whipsaw (bad signal).
To avoid the false positives, this implementation of the CMF two thresholds: the bullish threshold a little above zero (+0.05) and the bearish threshold a little below zero (-0.05).
Note: the two thresholds can be customized.
A like is always appreciated. :-)
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!
CMF Osc - Chaikin Money Flow Oscillator [UTS]The well known Chaikin Money Flow Indicator as oscillator version.
General Usage
The indicator runs both above and below zero, made to denote whether an asset is in a bullish (above zero) or bearish (below zero) trend.
It can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
Chaikin Oscillator (ADL Oscillator) [UTS]The Chaikin Oscillator is basically an oscillator version of the Accumulation / Distribution Index, also known as ADL Indicator.
General Usage
The indicator runs both above and below zero, made to denote whether an asset is in a bullish (above zero) or bearish (below zero) trend.
It can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
PVT Osc - Price Volume Trend Oscillator [UTS]The oscillator version of the Price Volume Trend indicator (PVT) can be considered as a leading indicator of future price movements. The PVT Indicator is similar to the On Balance Volume indicator as it is also used to measure the strength of a trend.
The difference between the OBV and the PVT is that where the OBV adds all volumes when price achieves higher daily closes and subtracts them when price registers a lower daily close, the PVT adds or subtracts only a portion of the volume from the cumulative total in relation to a percentage change in price.
The general market consensus is that this difference enables the PVT to more accurately represent money flow volumes in and out of a stock or commodity.
The PVT has been designed so that it is capable of forecasting directional changes in price. For instance, if the price of a stock is rising and the PVT begins to fall, then this is indicative that a price reversal could occur very soon.
The general consensus is that the PVT is more accurate at detecting new trading opportunities than the OBV because of the differences in their construction. The OBV is designed so that it adds the same amount of volume whether the price closes upwards by just a small fraction or by multiples of its day opening value. On the other hand, the PVT adds volume proportional to the amount the price closed higher.
General Usage
Plain old PVT can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Or controversy, disallow LONG trades in bearish territory and disallow SHORT trades in bullish territory.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
OBV Osc - On Balance Volume Oscillator [UTS]The oscillator version of the well known On Balance Volume Indicator (OBV).
General Usage
Plain old OBV can be used to confirm trends, as well as spot possible trading signals due to divergences.
A benefit of the oscillator version is that it can produce LONG or SHORT signals on zero line cross.
Moving Averages
4 different Moving Averages are available:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
MFI - Money Flow Index [UTS]Money Flow Index (MFI) is the technical indicator, which indicates the rate at which money is invested into a security and then withdrawn from it.
Construction and interpretation of the indicator is similar to Relative Strength Index with the only difference that volume is important to MFI.
Usage:
When analyzing the money flow index one needs to take into consideration the following points:
divergences between the indicator and price movement. If prices grow while MFI falls (or vice versa), there is a great probability of a price turn;
Money Flow Index value, which is over 80 or under 20, signals correspondingly of a potential peak or bottom of the market.
Common known variants of this type of indicator are the On Balance Volume, Chaikin Oscillator or Chaikin Money Flow.
Based on www.metatrader5.com
ADL - Accumulation Distribution Line [UTS]an underlying asset.
It is determined by the changes in price and volume. The volume acts as a weighting coefficient at the change of price — the higher the coefficient (the volume) is the greater the contribution of the price change (for this period of time) will be in the value of the indicator. The indicator is also known as Accumulation / Distribution Index.
Common known variants of this type of indicator are the On Balance Volume, Chaikin Oscillator or Chaikin Money Flow.
Based on www.metatrader5.com
