Opening Range Reversal ZonesThis script finds a reversal zone beyond the opening range for the selected period. I borrowed most of the opening range script itself from asenski.
I added a few things:
Trade Entry Times -- this restricts the "alert times."
Shading for the above mentioned times for the two "reversal" zones
A couple of other visuals for lines for the hi, mid, low of the opening range and lines for the fibs
Alerts while in the trading entry time session for fibbonacci crossovers.
I use this on NDX, SPY, and QQQs and have found buying "at the money" 0DTE puts in the "red zone" or 0DTE calls in the "green zone" frequently wins.
I have no statistics, as I am very methodical when I choose to enter, paying attention to the news, recent momentum, etc, and am not blindly entering when alert comes, but when one does, I do research and enter a trade.
In any case, thought I would share.
Bandas y canales
Anchored Progressive RangeIntroducing a simple script based off of the idea that ranges form from a point of origin that can be measured and produce interesting analysis indicating potential opportunities.
Specifically I use this on daily and weekly anchorage to find mid range retracements once range has developed.
Configure internal multipliers to provide potentially useful measurements between range high and mid point, as well as mid point and range low. By default it's standard .25 based multipliers but one could adjust to fib multipliers such as .615, .65, etc.
Anchored open price is plotted as continuous line as often times reversals will occur and open price will be tested on daily, weekly, monthly timeframes.
Once a bit of range is established and there's a rapid adjustment of range mid up or down, these can signal interesting breakouts. Also areas where the range stays flat due to no new high or low being printed can be indicative of consolidation, etc.
I've tested this with heikin ashi, renko, bars, line and regular candles through various markets such as futures, etfs and stocks and everything appears to anchor correctly, please feedback if experiencing otherwise.
I hope you enjoy this indicator as much as I enjoyed creating it, happy trading!
Stochastic Levels on Chart [MisterMoTA]The values of the Stochastic Levels on Chart indicator are calculated using Reverse Engineering calculations starting from default Stochastic formula : 100 * (close - lowest(low, length)) / (highest(high, length) - lowest(low, length)).
I added options for users to define the Extreme Overbought and Oversold values, also simple Oversold and Overbought values of the stochastic, default Extreme Overbought at 100, Extreme Oversold at 0, the 20 for Oversold and 80 as Overbought, plus the middle stochastic level = 50.
The script has included a color coded 20 SMA that will turn red when the 20 SMA is falling and green when it is rising, also there are bollinger bands using 2 standard deviation plus an extra top and bottom bollinger bands with a 2.5 standard deviation.
The users can use Stochastic Levels on Chart along with a simple Stochastic or a Stochastic Rsi indicator, when the price on chart touching extreme levels and Stochastic or Stochastic Rsi K line crossing above or bellow D line users can see on chart the levels where price need to close for getting stochastic overbought or oversold.
In the demo chart we can see at daily stochastic crossed down and the price crossed down all the levels displayed on chart, and same before stochastic was crossing up from oversold and price crossed up the stochastic levels displayed on chart.
In strong bullish moves the Extreme level 100 of the stochastic will be pushed higher, same in a strong bearish move the Extreme Oversold 0 level will be pushed lower, so users need to wait for confirmation of a crossover between K and D lines of stochastic that will signalize a pullback or a reverse of the trend.
For better results you will need to add a dmi or an adx or other indicator that will show you trend strength.
If you have any questions or suggestions to improve the script please send me a PM.
EXPONOVA @thejamiulNSE:NIFTY "EXPONOVA @thejamiul," is designed to provide traders with a visual tool to analyze market trends and potential entry or exit points. Here's an overview of its features and functionality:
1. Dual Exponential Moving Averages (EMAs):
The indicator utilizes two EMAs with different lengths - one set at 20 periods and the other at 55 periods. These EMAs are calculated based on the closing prices of the assets.
2. Color Gradient Feature:
A unique aspect of this indicator is its use of a color gradient to visually represent the relationship between the price and the longer EMA (55 periods). The gradient consists of a series of colors ranging from shades of red to green.
3. Dynamic Color Adaptation:
The indicator dynamically changes the color of the area between the two EMAs. This color change is based on the position of the closing price relative to the longer EMA (55 periods). The color shifts through the gradient based on the number of bars since the price last crossed the longer EMA.
4. Close Price and EMA Interaction:
The script includes functions to determine whether the closing price is above or below the longer EMA. This interaction is a crucial part of how the color gradient is applied.
5. Visualisation of Market Trends:
By plotting these EMAs and the color-filled area between them, the indicator provides a visual representation of market trends. The changing colors can help traders in identifying trend strength, potential reversals, or consolidation phases.
6. Overlay on Price Chart:
The indicator is designed to overlay directly on the price chart, making it easier for traders to correlate the EMAs and the color gradient with price movements.
7. Explicit Mention of Originality:
One of the distinctive features of 'EXPONOVA @thejamiul' is its innovative use of a color gradient to visually represent the price's relationship with the longer EMA. This approach, combined with our specific choice of EMAs and the dynamic color adaptation technique, sets this script apart from standard EMA-based indicators.
8. Acknowledgement of Potential Shortcomings or Limitations:
While 'EXPONOVA @thejamiul' provides a dynamic visual aid for trend analysis, users should note that like all indicators, it is subject to market volatility and should be used in conjunction with other analysis methods. This script is best suited for , and users may need to adjust settings for optimal performance in different market scenarios.
9. Summary:
"EXPONOVA @thejamiul" is a visually intuitive and dynamic trading tool that combines dual EMAs with a unique color gradient feature to aid traders in making informed decisions based on the relationship between price trends and moving averages.
MicroStrategy / Bitcoin Market Cap RatioThis indicator offers a unique analytical perspective by comparing the market capitalization of MicroStrategy (MSTR) with that of Bitcoin (BTC) . Designed for investors and analysts interested in the correlation between MicroStrategy's financial performance and the Bitcoin market, the script calculates and visualizes the ratio of MSTR's market capitalization to Bitcoin's market capitalization.
Key Features:
Start Date: The script considers data starting from July 28, 2020, aligning with MicroStrategy's initial announcement to invest in Bitcoin.
Data Sources: It retrieves real-time data for MSTR's total shares outstanding, MSTR's stock price, and BTC's market capitalization.
Market Cap Calculations: The script calculates MicroStrategy's market cap by multiplying its stock price with the total shares outstanding. It then forms a ratio of MSTR's market cap to BTC's market cap.
Bollinger Bands: To add a layer of analysis, the script includes Bollinger Bands around the ratio, with customizable parameters for length and multiplier. These bands can help identify overbought or oversold conditions in the relationship between MSTR's and BTC's market values.
The indicator plots the MSTR/BTC market cap ratio and the Bollinger Bands, providing a clear visual representation of the relationship between these two market values over time.
This indicator is ideal for users who are tracking the impact of Bitcoin's market movements on MicroStrategy's valuation or vice versa. It provides a novel way to visualize and analyze the interconnectedness of a leading cryptocurrency asset and a major corporate investor in the space.
Math Trading Concepts [SS]Presenting a mashup of the key elements I use for day-to-day trading: Volume, Z-Score, Autoregressive Forecasting, and a new addition, ANOVA analysis of variance.
I've aptly named it "Math Trading Concepts" in a nod to established trading concepts like "Smart Money" and "liquidity," but it's also fitting because these elements are fundamental to most quantitative/mathematical trading strategies.
What does it do?
The indicator visualizes Z-Score bands over a user-selected lookback period (defaulted to 14), akin to Bollinger Bands. Within these bands, it provides additional data, including trend identification. Uptrends are displayed in varying shades of green (brighter for stronger trends), while downtrends appear in red (with intensity reflecting strength).
Now, let's delve into each point individually:
Volume:
The indicator converts volume into a Z-Score over the specified lookback period. It distinguishes between buying and selling volume, calculating separate Z-Scores for each. A signal is triggered when the Z-Score exceeds 2 (for buying) or falls below -2 (for selling).
Z-Score:
The Z-Score clouds represent the outer parameters of the standard deviation over the lookback period (set at 2 and 3). Users can adjust the lookback time, and the indicator analyzes previous Z-Score reversal areas over the last 75 candles, signaling buy or sell based on historical reversals.
If you want to make it like BB, select the lookback length for the Z-Score at 25.
Autoregressive Forecasting:
This unique approach to autoregressive forecasting involves regressing a lagged variable while incorporating a time element. The time length is auto-determined based on the strongest trend. The indicator plots both autoregressed highs and lows.
ANOVA:
ANOVA, a discovery of mine, is introduced here. It reliably triggers significant readings before a pivot or breakout by measuring variance between means. When a statistically significant ANOVA occurs using the high, low, and close lagged values, it indicates an impending significant market move. While ANOVA alerts are not specific about the nature of the move, complementary tools like Volume, trend analysis, and Z-Bands provide additional insights.
Expect more educational content on ANOVA in the future, given its unique discovery. I was hoping to do one before releasing anything ANOVA based but alas, I haven't had the time!
The remainder of the indicator is self-explanatory. Feel free to ask any questions that arise or were not addressed in this description.
Special thanks to @Trendoscope for his arrays library which has made it possible for you to use the autoregression forecast while actively trading without it intruding on the chart :-).
Safe trades, everyone!
Donch +This is an indicator I made for trading Forex to help me see the bigger picture. It is meant for the 30min TF and it includes the following:
- 20 Day High | Low
- 5 Day High | Low
- 4 Hour High | L
- 4 Hour Bars
- Daily Simple Moving Averages
- Weekly Trend Line (connects last week's open to this week's open)
- Daily Trend Line (connects yesterday's open to today's open)
- Horizontal Lines at 0.25% increments (these can be useful for S/R... currency rarely moves more than 1% in a day).
- A table with information about what markets are open and technicals on the pair I am looking at.
- A slight white background fill to highlight the first hour of the US session. Knowing what session you are in is very important in day trading (in my opinion). This lets me go back and see how the US has been trading.
To keep the chart from being "too busy" (it's plenty busy lol), I use a step line and focus on 30min closes. I reference the white lines above and below closes for 4hr highs/lows and don't bother with looking at the high/low of every 30 min bar.
For the table, you will see bright green by the country for the first hour of trading in that session. It will turn to a regular green after the first hour. It will turn yellow the final hour of that session. It will turn red if that market is closed.
You can select from the settings 'inputs' tab to enable/disable any parts of this you don't find useful, for the table you'd go over to the 'style' tab and unselect it there. For example, I don't use the labels regularly. If I were to get confused about what a moving average was or something, I'd enable the labels and clarify.
Currency doesn't like to break out and likes to be stable. Keeping this in mind, you can see how the 20 day high / low and the 5 day high / low act as support and resistance (unless there is a news event to break out on.
I have alerts for the following:
- Price update every hour
- Crossing a trend line
- Crossing a moving average
- Crossing a 0.25% increment
- Making a new 4 hour, 5 day, or 20 day high/low
To enable the alerts, you would click add alert, select the indicator, and click save. To work properly, you'd want to be on the 30min TF before doing this. You will get a lot of alerts (personally I like this because I like to see how currency moves throughout the day). You will get one notification per 30 minutes but not more than that for the particular alert.
Envelope and Moving Average**Description:**
- This script creates an indicator that combines an envelope and a simple moving average (MA).
- The envelope is constructed using a specified length, percentage deviation, and source price (close by default).
- The moving average is calculated based on a specified length and source price.
**Inputs:**
1. Envelope:
- Length: Number of periods used for the envelope calculation (default is 20).
- Percentage Deviation: Percentage above and below the envelope basis (default is 10%).
- Source: The price used for the envelope calculation (default is close).
- Exponential MA: Option to use exponential moving average for the envelope basis (default is false).
2. Moving Average:
- Length: Number of periods used for the moving average calculation (default is 20).
- Source: The price used for the moving average calculation (default is close).
**Plotting:**
- The script plots the envelope basis, upper envelope line, and lower envelope line.
- The area between the upper and lower envelope lines is filled with a semi-transparent color for better visualization.
- The moving average is plotted on the chart with a specified color and line width.
**How to Use in a Strategy:**
1. **Envelope Crossovers:**
- Go Long (Buy): When the close price crosses above the upper envelope line.
- Go Short (Sell): When the close price crosses below the lower envelope line.
2. **Moving Average Crossovers:**
- Go Long (Buy): When the close price crosses above the moving average.
- Go Short (Sell): When the close price crosses below the moving average.
3. **Confirmation:**
- Consider additional confirmation signals or filters to improve the robustness of your strategy.
- For example, you might require a certain amount of price momentum or use other technical indicators in conjunction with envelope and moving average signals.
4. **Optimization:**
- Experiment with different parameter values (e.g., envelope length, percentage deviation, moving average length) to optimize the strategy for specific market conditions.
5. **Risk Management:**
- Implement proper risk management techniques, such as setting stop-loss orders and position sizing, to control risk.
Remember to thoroughly backtest any strategy before deploying it in a live trading environment. Additionally, consider the current market conditions and adapt your strategy accordingly.
Opening RangeThe opening range or first 30 minutes of trading during the day sets the tone and becomes an important reference through the rest of the day. Price will react as it reaches the high and low of the opening range.
Backtesting has shown that the strategies based on the opening range have merit and provide an edge in trading. By not being aware of these points of reference you put yourself at risk.
In addition to the opening range, the distance from the high or low of the opening range plus the width of the opening range forms another important reference point.
Opening Range Rules.
Price must break out of the opening range in order to have a trending day. As long as price is inside the opening range, expect the trade to be choppy.
Once price leaves the opening range the market can begin to trend. However, before it trends most times it will retest the boundary of the opening range. This is a critical point, and a better than average entry for a position to join the trend. However, if price closes back inside the opening range watch out. Re-entry to the opening range has a high probability of going to the middle of the opening range, and a better than average probability of crossing the entire opening range.
In the above chart we can see price broke below the opening range then returned to retest the opening range before beginning a downward trend that delivered 175 pts on NQ.
Upon re-entering the opening range price tried to break down again but ultimately traveled up until it hit the 50% mark of the opening range.
Once a trend has begun the first target is the green line which is 1 width of the opening range outside of the opening range.
Once price broke out of the opening range to the upside, it came back to retest the opening range high, before beginning an uptrend that delivered 120 pts on NQ.
CCI based support and resistance strategy
WARNING:
Commissions and slippage has not been considered! Don’t take it easy adding commissions and slippage could turns a fake-profitable strategy to a real disaster.
We consider account size as 10k and we enter 1000 for each trade.
Less than 100 trades is too small sample community and it’s not reliable, Also the performance of the past do not guarantee future performance. This result was handpicked by author and will differ by other timeframes, instruments and settings.
*PLEASE SHARE YOUR SETTINGS THAT WORK WITH THE COMMUNITY.
Introduction:
The CCI-based dynamic support and resistance is a "Bands and Channels" kind of indicator consisting an upper and lower band. This is a strategy which uses CCI-based (Made by me) indicator to execute trades.
SL and TP are calculated based on max ATR during last selected time period. You can edit strategy settings using "Ksl", "Ktp" and the other button for time period. “KSL” and “KTP” are 2.5 and 5 by default.
Bands are calculated regarding CCI previous high and low pivot. CCI length, right pivot length and left pivot length are 50.
A dynamic support and resistance has been calculated using last upper-cci minus a buffer and last lower-cci plus the buffer. The buffer is 10.
If "Trend matter?" button is on you can detect trend by color of the upper and lower line. Green is bullish and red is bearish! "Trend matter?" is on.
The "show mid?" button makes mid line visible, which is average of upper and lower lines, visible. The button is not active by default.
Reaction to the support could be a buy signal while a reaction to the resistance could interpreted as a sell signal.
How this strategy work?
Donald Lambert, a technical analyst, created the CCI, or Commodity Channel Index, which he first published in 1980. CCI is calculated regarding CCI can be used both as trend-detector or an oscillator. As an oscillator most traders believe in static predefined levels. Overbought and oversold candles which are clear in the chart could be used as sell and buy signals.
During my trading career I’ve noticed that there might be some reversal points for the CCI. I believe CCI could have to potential to reverse more from lately reversal point. Of course, just like other trading strategies we are talking about probabilities. We do not expect a win trade each time.
On price chart
Now this the question! What price should the instrument reach that CCI turns to be equal to our reversing aim for CCI? Imagine we have found last important bearish reversal of CCI in 200. Now, if we need the CCI to be 200 what price should we wait for?
How to calculate?
This is the CCI formula:
CCI = (Typical Price - SMA of TP) / (0.015 x Mean Deviation)
Where, Typical Price (TP) = (High + Low + Close)/3
For probable reversing points, high and low pivots of 50 bars have been used.
So we do have an Upper CCI and a Lower CCI. They are valid until the next pivot is available.
By relocating factors in CCI formula you can reach the “Typical Price”.
“
Typical Price = CCI (0.015 * Mean Deviation) + SMA of TP
So we could have a Support or Resistance by replacing CCI with Upper and Lower CCI.
A buy signal is valid if the trend is bullish (or “trend matter” is off) and lowest low of last 2 candles is lower than support and close is greater than both support and open.
A Sell signal is produced in opposite situation.
There are 2+1 options for trend!
Trend matter box is on by default, which means we’ll just open trades in direction of the trend. It’s available to turn it off.
Other 2 options are cross and slope. Cross calculated by comparing fast SMA and slow SMA. The slope one differentiate slow SMA to last “n” one.
Considering last day and today highest ATR as the ATR to calculating SL and TP is our unique technique.
Smart Money Oscillator [ChartPrime]The "Smart Money Oscillator " is a premium and discount zone oscillator with BOS and CHoCH built in for further analysis of price action. This indicator works by first determining the the premium and discount zones by using pivot points and high/lows. The top of this oscillator represents the current premium zone while the bottom half of this oscillator represents the discount zone. This oscillator functionally works like a stochastic oscillator with more sophisticated upper and lower bounds generated using smart money concept theories. We have included a moving average to allow the user to visualize the currant momentum in the oscillator. Another key feature we have included lagging divergences to help traders visualize potential reversal conditions.
Understanding the concepts of Premium and Discount zones, as well as Break of Structure (BoS) and Change of Character (CHoCH), is crucial for traders using the Smart Money Oscillator. These concepts are rooted in market structure analysis, which involves studying price levels and movements.
Premium Zone is where the price is considered to be relatively high or 'overbought'. In this zone, prices have risen significantly and may indicate that the asset is becoming overvalued, potentially leading to a reversal or slowdown in the upward trend.
The Discount Zone represents a 'discount' or 'oversold' area. Here, prices have fallen substantially, suggesting that the asset might be undervalued. This could be an indicator of a potential upward reversal or a pause in the downward trend.
Break of Structure (BoS) is about the continuation of a trend. In a bullish trend, a BoS is identified by the break of a recent higher high. In a bearish trend, it's the break of a recent Lower Low. BoS indicates that the trend is strong and likely to continue in its current direction. It's a sign of strength in the prevailing trend, whether up or down.
Change of Character (CHoCH) is an indication of a potential end to a trend. It occurs when there's a significant change in the market's behavior, contradicting the current trend. For example, in an uptrend characterized by higher highs and higher lows, a CHoCH may occur if a new high is formed but then is followed by an impulsive move downwards. This suggests that the bullish trend may be weakening and a bearish reversal could be imminent. CHoCH is essentially a sign of trend exhaustion and potential reversal.
With each consecutive BoS, the signal line of the oscillator will deepen in color. This allows you to visually see the strength of the current trend. The maximum strength of the trend is found by keeping track of the maximum number of consecutive BoS's within a window of 10. This calculation excludes periods without any BoS's to allow for a more stable max.
Quick Update is a feature that implements a more aggressive algorithm to update the highs and lows. Instead of updating the pivot points exclusively to update the range levels, it will attempt to use the current historical highs/lows to update the bounds. This results in a more responsive range at the cost of stability. There are pros and cons for both settings. With Quick Update disabled, the indicator will allow for strong reversals to register without the indicator maxing out. With Quick Update enabled, the indicator will show shorter term extremes with the risk of the signal being pinned to the extremities during strong trends or large movements. With Quick Update disabled, the oscillator prioritizes stability, using a more historical perspective to set its bounds. When Quick Update is enabled, the oscillator becomes more responsive, adjusting its bounds rapidly to reflect the latest market movements.
The Scale Offset feature allows the indicator to break the boundaries of the oscillator. This can be useful when the market is breaking highs or lows allowing the user to identify extremities in price. With Scale Offset disabled the oscillator will always remain inside of the boundaries because the extremities will be updated instantly. When this feature is enabled it will update the boundaries one step behind instead of updating it instantly. This allows the user to more easily see overbought and oversold conditions at the cost of incurring a single bar lag to the boundaries. Generally this is a good idea as this behavior makes the oscillator more sensitive to recent price spikes or drops, reflecting sudden market movements more accurately. It accentuates the extremities of the market conditions, potentially offering a more aggressive analysis. The main trade-off with the Scale Offset feature is between sensitivity and potential overreaction. It offers a more immediate and exaggerated reflection of market conditions but might also lead to misinterpretations in certain scenarios, especially in highly volatile markets.
Divergence is used to predict potential trend reversals. It occurs when the price of an asset and the reading of an oscillator move in opposite directions. This discrepancy can signal a weakening of the current trend and possibly indicate a potential reversal.
Divergence doesn't always lead to a trend reversal, but it's a warning sign that the current trend might be weakening. Divergence can sometimes give false signals, particularly in strongly trending markets where the oscillator may remain in overbought or oversold conditions for extended periods. The lagging nature of using pivot points to calculate divergences means that all divergences are limited by the pivot look forward input. The upside of using a longer look forward is that the divergences will be more accurate. The obvious con here is that it will be more delayed and might be useless by the time it appears. Its recommended to use the built in divergences as a way to learn how these are formed so you can make your own in real time.
By default, the oscillator uses a smoothing of 3 to allow for a more price like behavior while still being rather smooth compared to raw price data. Conversely, you can increase this value to make this indicator behave smoother. Something to keep in mind is that the amount of delay from real time is equal to half of the smoothing period.
We have included a verity of alerts in this indicator. Here is a list of all of the available alerts: Bullish BOS, Bearish BOS, Bullish CHoCH, Bearish CHoCH, Bullish Divergence, Hidden Bullish Divergence, Bearish Divergence, Hidden Bearish Divergence, Cross Over Average, Cross Under Average.
Below are all of the inputs and their tooltips to get you started:
Settings:
Smoothing: Specifies the degree of smoothing applied to the oscillator. Higher values result in smoother but potentially less responsive signals.
Average Length: Sets the length of the moving average applied to the oscillator, affecting its sensitivity and smoothness.
Pivot Length: Specifies the forward-looking length for pivot points, affecting how the oscillator anticipates future price movements. This directly impacts the delay in finding a pivot.
Max Length: Sets the maximum length to consider for calculating the highest values in the oscillator.
Min Length: Defines the minimum length for calculating the lowest values in the oscillator.
Quick Update: Activates a faster update mode for the oscillator's extremities, which may result in less stable range boundaries.
Scale Offset: When enabled, delays updating minimum and maximum values to enhance signal directionality, allowing the signal to occasionally exceed normal bounds.
Candle Color: Enables coloring of candles based on the current directional signal of the oscillator.
Labels:
Enable BOS/CHoCH Labels: Activates the display of BOS (Break of Structure) and CHoCH (Change of Character) labels on the chart.
Visual Padding: Turns on additional visual padding at the top and bottom of the chart to accommodate labels. Determines the amount of visual padding added to the chart for label display.
Divergence:
Divergence Pivot: Defines the number of bars to the right of the pivot in divergence calculations, influencing the oscillator's responsiveness.
Divergence Pivot Forward: Directly impacts latency. Longer periods results in more accurate results at the sacrifice of delay.
Upper Range: Sets the upper range limit for divergence calculations, influencing the oscillator's sensitivity to larger trends.
Lower Range: Determines the lower range limit for divergence calculations, affecting the oscillator's sensitivity to shorter trends.
Symbol: Allows selection of the label style for divergence indicators, with options for text or symbolic representation.
Regular Bullish: Activates the detection and marking of regular bullish divergences in the oscillator.
Hidden Bullish: Enables the identification and display of hidden bullish divergences.
Regular Bearish: Turns on the feature to detect and highlight regular bearish divergences.
Hidden Bearish: Activates the functionality for detecting and displaying hidden bearish divergences.
Color:
Bullish: Determines the minimum/maximum color gradient for bullish signals, impacting the chart's visual appearance.
Bearish: Defines the minimum/maximum color gradient for bearish signals, affecting their visual representation.
Average: Specifies the color for the average line of the oscillator, enhancing chart readability.
CHoCH: Sets the color for bullish/bearish CHoCH (Change of Character) signals.
Premium/Discount: Determines the color for the premium/discount zone in the oscillator's visual representation.
Text Color: Sets the color for the text in BoS/CHoCH labels.
Regular Bullish: Defines the color used to represent regular bullish divergences.
Hidden Bullish: Specifies the color for hidden bullish divergences.
Regular Bearish: Determines the color for hidden bearish divergences.
Divergence Text Color: Specifies the color for the text in divergence labels.
Qu_Trend+
composition
- Consists of a thick trend line and a thin yellow line.
- The largest (green/red) lines indicate rising and falling markets.
- This line represents the 13-candle moving average of Tilson T3.
- The reason for 13 candles is because it best matches the recent market price based on Bitcoin.
- This value cannot be changed, so if you need it, please modify the public code and use it.
- The yellow line is the MA20 line, the ‘Bollinger Band center line’
(UI will show whether this line has been breakout)
- The same algorithm as 20 of the basic moving average (close standard) is applied.
- The algorithm for breakthrough is calculated based on real-time prices, not based on closing prices.
An additional short-term SMA is created, and whether it crosses the SMA is classified as a breakout/resistance.
How to use it
- If the trend line becomes gentle, it may indicate a change in trend when + MA20 is broken.
- While the slope of the trend line is steep, it indicates that the trend is difficult to change.
(If the trend changes at this time, it is likely to move sideways)
- If the trend changes continuously, it is a sideways market.
At this time, watch out for the movement of the end point where the sideways trend ends.
Open Interest OscillatorIn the middle of a bustling cryptocurrency market, with Bitcoin navigating a critical phase and the community hype over potential ETF approvals, current funding rates, and market leverage, the timing is optimal to harness the capabilities of sophisticated trading tools.
Meet the Open Interest Oscillator – special indicator tailored for the volatile arena of cryptocurrency trading. This powerful instrument is adept at consolidating open interest data from a multitude of exchanges, delivering an in-depth snapshot of market sentiment across all timeframes, be it a 1-minute sprint or a weekly timeframe.
This versatile indicator is compatible with nearly all cryptocurrency pairs, offering an expansive lens through which traders can gauge the market's pulse.
Key Features:
-- Multi-exchange Data Aggregation: This feature taps into the heart of the crypto market by aggregating open interest data from premier exchanges such as BINANCE, BITMEX, BITFINEX, and KRAKEN. It goes a step further by integrating data from various pairs and stablecoins, thus providing traders with a rich, multi-dimensional view of market activities.
-- Open Interest Bars: Witness the flow of market dynamics through bars that depict the volume of positions being opened or closed, offering a clear visual cue of trading behavior. In this mode, If bars are going into negative zone, then traders are closing their positions. If they go into positive territory - leveraged positions are being opened.
-- Bollinger Band Integration: Incorporate a layer of statistical analysis with standard deviation calculations, which frame the open interest changes, giving traders a quantified edge to evaluate the market's volatility and momentum.
-- Oscillator with Customizable Thresholds: Personalize your trading signals by setting thresholds that resonate with your unique trading tactics. This customization brings the power of tailored analytics to your strategic arsenal.
-- Max OI Ceiling Setting: In the fast-paced crypto environment where data can surge to overwhelming levels, the Max OI Ceiling ensures you maintain a clear view by capping the open interest data, thus preserving the readability and interpretability of information, even when market activity reaches feverish heights.
PlayBit EMAPlayBit EMA Indicator
Introducing the PlayBit EMA, a highly esteemed technical analysis tool within the PlayBit Community and a personal favorite of Bitcoin Playboy. This indicator has cemented its place as a staple among traders for its simplicity and effectiveness.
Key Features:
PB EMA: Utilizes two Exponential Moving Averages (EMAs) to identify support and resistance zones and help identify potential reversal points.
Dynamic Fill Color:
The fill color will change based on if the closing price is above, below, or in between.
This indicator is not only a reflection of market dynamics but also an essential tool for traders looking to make informed decisions based on the relationship between price action and moving averages. Whether you're a seasoned trader or just starting out, the PlayBit EMA is an invaluable addition to your trading arsenal.
Channels With Patterns [ChartPrime]The Channels With Patterns indicator is an attempt at minimizing the delay in forming a trend channel. This indicator uses a single pivot in conjunction with a smooth version of the price to estimate the direction of an emerging trend. Using ATR, this indicator estimates the volatility of the new trend by adjusting the channel size by a multiple of the current ATR.
One of the biggest complains for any trend indicator is that it takes too long to create a channel or trend line. This indicator estimates the trend channel by checking if the price is moving in the correct direction and then it projects the channel from a single pivot. To allow for some margin of error, this script uses an offset to help center the channel.
This offset is generated from the ATR at the time of formation. In conjunction with forming estimated trend channels, this indicator features select candle stick patterns. These candle stick patterns are filtered by location in the formed trend channel. If the price is within an extremity of the trend channel it will appear. Filtering classical vanilla candle stick patterns using this methodology can result in some interesting results and possible confluence points for traders. For example; a bearish hammer appearing when filtered in an upper zone might add an extra level of realtime unique confluence traders.
Traders can use this script as a general trend line indicator that is a bit more forward looking than others, or it can be used it as its full blown trend channel estimator. Due to the fact that this is an estimate using the minimum possible information to make the channel, its accuracy will not always be perfect and can suffer compared to alternative methods.
When configuring the indicator it is important to understand the role of each input. Here is a description of all of the settings provided:
Presets (`preset`): This input allows users to quickly configure the indicator based on the market they are trading in. Selecting "Stocks," "Forex," or "Crypto" automatically adjusts various parameters to settings deemed optimal for these markets. The "User" option lets traders manually configure settings for a more personalized approach.
Style (`style`): This setting determines how pivot points are calculated. "Wick" uses the high and low of candlesticks (including wicks), which can be more sensitive to market extremes. "Body" uses only the open and close prices (the body of the candlesticks), potentially offering a more stable pivot point calculation.
Break Style (`break_style`): This option defines what price is used to determine if a channel has been broken. "Close" uses the closing price of a candlestick, while "High/Low" uses the highest and lowest prices. This affects how channel breaks are identified and can influence trading signals.
Instant Mode (`instant`): When enabled, this feature allows the indicator to form channels more quickly by initiating them as soon as potential formations are detected. This can provide earlier signals but may increase the risk of false positives.
ATR Length (`atr_length`): This input sets the period for the Average True Range (ATR), a common volatility indicator. A longer ATR period may smooth out the channel but could delay responsiveness to market changes. A shorter period might make the channel more responsive but potentially more erratic.
Offset Center (`offset`): Adjusts the vertical positioning of the channel. This can help in aligning the channel more accurately with the price action, depending on market conditions and personal trading strategies.
Size (`atr_multiplier`): Alters the channel's size relative to the ATR. A higher multiplier makes a wider channel, which might be useful in more volatile markets. A lower multiplier tightens the channel, which could be better for less volatile conditions.
Padding % (`padding`): This setting adjusts the padding within the top and bottom quarters of the channel. It essentially fine-tunes the channel's sensitivity to price movements near its boundaries.
Pivot Length (`pivot_length`): Determines the number of bars used to calculate pivot points. A longer length may provide more significant pivot points but can reduce the number of channels formed.
Pivot Look Forward (`look_forward`): Sets the number of bars to look forward in the pivot calculation, affecting how quickly the channel adapts to new pivots.
Average H/L Length (`avg_length`): Controls the smoothing of the high and low prices used in the channel calculation. A longer average length can lead to smoother, more gradual channel slopes.
Enable Hammer (`enable_hammer`): When enabled, the indicator will highlight Hammer candlestick patterns, which are often considered bullish reversal indicators.
Enable Inverted Hammer (`enable_ihammer`): This toggles the display of Inverted Hammer patterns, typically viewed as potential bullish reversal signals.
Enable Bullish Engulfing (`enable_bullish_engulfing`): Enables the identification of Bullish Engulfing patterns, another type of bullish reversal indicator.
Enable Bearish Engulfing (`enable_bearish_engulfing`): When activated, this highlights Bearish Engulfing patterns, which are often interpreted as bearish reversal signals.
Extend Channel (`extend`): This option, when enabled, extends the drawn channels forward until they are either broken or a new channel is formed.
Show Break Label (`show_break_label`): Toggles the display of labels indicating where the channel has been broken, providing visual cues for potential trade entries or exits.
Channel History Length (`history_length`): Determines how many historical channels are displayed on the chart. This can be useful for analyzing past performance and patterns.
Channel Colors (`top_color`, `bottom_color`, `center_color`): These settings allow customization of the channel's appearance by setting the colors of the top, bottom, and center lines.
Line Transparency (`line_trans`): Adjusts the transparency of the channel lines, helping to balance visibility with chart readability.
Center Line Transparency (`center_trans`): Specifically sets the transparency level of the center line of the channel.
Channel Fill Transparency (`fill_trans`): Modifies the transparency of the filled areas between the channel lines, which can enhance chart clarity and focus on the price action.
Break Colors (`break_up_color`, `break_down_color`): Sets the colors for labels that appear when the channel is broken, either upwards or downwards.
Break Label Text Color (`text_color`): Determines the color of the text in the break labels, enhancing readability based on the chart's background and color scheme.
Candle Pattern Colors (`h_color`, `ih_color`, `bullish_engulfing_color`, `bearish_engulfing_color`): These inputs allow for the customization of the colors used to highlight various candle patterns on the chart.
Candle Pattern Text Color (`candle_text_color`): Sets the color of the text for labels associated with candle pattern indicators.
Alerts (`new_channel_alert`, `break_alert`, `hammer_alert`, `ihammer_alert`, `bullish_engulfing_alert`, `bearish_engulfing_alert`): These toggles enable or disable alerts for different events, such as the formation of new channels, channel breaks, or the appearance of specific candle patterns. This feature is crucial for traders who rely on timely notifications for potential trading opportunities.
We have provided a few presets to allow you to get a feeling for how the indicator works with different settings easily. Here is a description of the settings used in each preset:
Stocks Preset:
Style: "Wick"
Break Style: False (High/Low)
Instant Mode: True
ATR Length: 10
Size (ATR Multiplier): 4
Pivot Length: 10
Pivot Look Forward: 15
Average H/L Length: 18
Forex Preset:
Style: "Wick"
Break Style: False (High/Low)
Instant Mode: True
ATR Length: 100
Size (ATR Multiplier): 5
Pivot Length: 10
Pivot Look Forward: 15
Average H/L Length: 18
Crypto Preset:
Style: "Wick"
Break Style: False (High/Low)
Instant Mode: True
ATR Length: 10
Size (ATR Multiplier): 4
Pivot Length: 10
Pivot Look Forward: 15
Average H/L Length: 18
This script first starts by defining and collecting the relevant data for the main body of the code with data(). This generates the pivot data, the levels, the ranges, the averages, the deltas, and finally the candle sticks. Once there is a higher low, or lower high detected via the pivots and the current price it triggers the formation of the new channel. It takes the delta between the last pivot and the current average price and projects the trend channel using this delta. If the price exceeds the extremities of the channel it will classify this as a break from the estimated structure and begin looking for a new channel. The idea is that when trending, the price will oscillate between extremities as defined by a range and direction. If the price is inside of one of these extremities the script will look for candle stick patterns. This is how the script operates.
On a more technical level, this script is meant to showcase Pine Script's custom types and methods. We have made use of a properties pattern allows functions to use a minimal number of arguments. This allows you to add new inputs without modifying a string of functions. The use of methods and data structures allows the main body of the code to be easy to understand and for the script as a whole to be easily modified. We have made sure that the script is modular so that users can incorporate this into their own custom scripts. It should be easy to expand on this script as the main logic is fairly compact and open for easy modification. All features are packed into their own function for easy use elsewhere. This is particularly evident in the candle stick section. I have simplified the process of creating candle stick patterns by creating a type. All users have to do is make methods for this type.
candle()=>
polarity = open < close
body_top = math.max(open, close)
body_bottom = math.min(open, close)
body_range = body_top - body_bottom
top_wick = high - body_top
bottom_wick = body_bottom - low
average_body = ta.ema(body_range, 14)
average_top_wick = ta.ema(top_wick, 14)
average_bottom_wick = ta.ema(bottom_wick, 14)
has_body = body_range != 0
has_top_wick = top_wick != 0
has_bottom_wick = bottom_wick != 0
above_average_body = body_range > average_body
above_average_top_wick = top_wick > average_top_wick
above_average_bottom_wick = bottom_wick > average_bottom_wick
candle_data.new(
polarity
, body_top
, body_bottom
, body_range
, top_wick
, bottom_wick
, average_body
, average_top_wick
, average_bottom_wick
, has_body
, has_top_wick
, has_bottom_wick
, above_average_body
, above_average_top_wick
, above_average_bottom_wick
)
In conclusion, this script offers a blend of rapid trend channel formation and candlestick pattern recognition, making it a unique tool for traders looking for a more proactive approach to trend analysis.
Donchian Channels StrengthTL;DR - A different approach calculating strength based on Donchain channels
My approach calculating strength by using the difference between price and donchain average. It is possible to use the highest/lowest value of a given source (like close) or to use the highest high/lowest low (by using the option 'include wicks') for the strength calculation
I added multiple moving averages which can be used in the calculations incl. SMMA (RMA) which is used in RSI calculation and works best for me.
Usage is similar to RSI: DC Strength oscillates between 0 and 100. Low values (<20) indicate a bearish situation while high values (>80) indicate bullish ones. Center line (50) crossings can also indicate a possible trend change.
Adaptive Trend Finder (log)In the dynamic landscape of financial markets, the Adaptive Trend Finder (log) stands out as an example of precision and professionalism. This advanced tool, equipped with a unique feature, offers traders a sophisticated approach to market trend analysis: the choice between automatic detection of the long-term or short-term trend channel.
Key Features:
1. Choice Between Long-Term or Short-Term Trend Channel Detection: Positioned first, this distinctive feature of the Adaptive Trend Finder (log) allows traders to customize their analysis by choosing between the automatic detection of the long-term or short-term trend channel. This increased flexibility adapts to individual trading preferences and changing market conditions.
2. Autonomous Trend Channel Detection: Leveraging the robust statistical measure of the Pearson coefficient, the Adaptive Trend Finder (log) excels in autonomously locating the optimal trend channel. This data-driven approach ensures objective trend analysis, reducing subjective biases, and enhancing overall precision.
3. Precision of Logarithmic Scale: A distinctive characteristic of our indicator is its strategic use of the logarithmic scale for regression channels. This approach enables nuanced analysis of linear regression channels, capturing the subtleties of trends while accommodating variations in the amplitude of price movements.
4. Length and Strength Visualization: Traders gain a comprehensive view of the selected trend channel, with the revelation of its length and quantification of trend strength. These dual pieces of information empower traders to make informed decisions, providing insights into both the direction and intensity of the prevailing trend.
In the demanding universe of financial markets, the Adaptive Trend Finder (log) asserts itself as an essential tool for traders, offering an unparalleled combination of precision, professionalism, and customization. Highlighting the choice between automatic detection of the long-term or short-term trend channel in the first position, this indicator uniquely caters to the specific needs of each trader, ensuring informed decision-making in an ever-evolving financial environment.
2bandHello traders
In this script, I have defined two bands with a deviation of 2 and 3
I designed the setup so that the upper lines represent red resistance, the lower lines represent green support, and the blue line represents the average price of the previous 20 candles in each time frame.
This code can be used mostly in time frames above 30 minutes and somehow predict possible price targets.
For example, if the price closes above the blue line in the one-hour time frame, the two fixed lines above are considered as targets and vice versa.
I have also added the pivot point calculation formula in orange
Most importantly, I added the closing price of the previous days in black
I hope it will be used by dear traders and you will support more for new works.
ZenTrend Price CyclesZenTrend attempts to plot the cycles that occur as the price cycles between the top and bottom of long- and short-term price linear regression channels.
The indicator observes a fast (35-period) and a slow (100-period) linear regression channel and plots their slopes on an oscillator. When the slope of the fast channel crosses above or below the slope of the slow channel, a signal is plotted.
The red line is the slope of the fast channel; blue is the slope of the slow channel
A green dot and background indicates the slope of recent price action has crossed above the slope of long-term price action.
A red dot and background indicates the slope of recent price action has crossed below the slope of long-term price action.
A gray dot indicates the slope of recent price action is slowing. The difference between the long- and short-term slopes is narrowing.
Here are things I look for when observing price cycles
Where does the cross occur? Crosses high above or below the 'zero line' indicate a more extreme change in price channel slopes.
Flat line: crosses that occur while the lines are flat often indicate chop.
"Curve" of the line - a cross that occurs as the slope lines are starting to curve up/down indicates a sharper and more extreme change in price channel slope.
Donchian Channels %I enjoy Donchian Channels for identifying trends. However, I hate having them on my chart. They are next to impossible to interpret at a glance. This script converts DCs to a % making a useful oscillator. The horizontal lines on the chart correspond to the Fib retracements below 50%. There are many ways to trade using this script and it works on any time frame. Moving average crosses are worth your attention, particularly, the 34 period MA (purple line). Enjoy and happy trading.
Inside Bars/Candles [CodeCraftedTrading]This Pine Script indicator is designed to identify and visually represent inside bars or candles. Here's a breakdown of its features and functionality:
1. Inputs:
insideCandlesColor: Color of the inside bars or candles.
highColor: Color of the horizontal line representing the high of the inside bar.
lowColor: Color of the horizontal line representing the low of the inside bar.
showHighLowLabel: Option to display labels for the high and low prices.
2. Logic:
The script checks for the conditions of an inside bar:
high < high and low > low
If an inside bar is detected and is not already in the range:
* Stores the high and low prices of the previous bar.
* Records the parent bar index and sets the broken flag to false.
If the current bar's high exceeds the stored high or the low falls below the stored low, the broken flag is set to true.
If the current bar is within the stored high and low range, it is considered in-range.
The script then dynamically plots horizontal lines at the high and low prices of the parent bar until the inside bar is broken.
3. Visualization:
The inside bars are colored based on the insideCandlesColor.
Horizontal lines are drawn at the high and low prices of the parent bar within the inside bar.
Optional labels display the rounded values of the high and low prices.
4. Usage:
Apply the script to your chart.
Adjust the input parameters according to your preferences.
The indicator will highlight inside bars with colored bars and draw lines representing the high and low prices. Labels are optional.
5. Note:
Inside bars are bars where the entire price range is within the high and low of the previous bar.
The script uses historical bar information and visualizes the inside bars dynamically on the chart.
Blockunity Excess Index (BEI)Identify excess zones resulting in market reversals by visualizing price deviations from an average.
The Excess Index (BEI) is designed to identify excess zones resulting in reversals, based on price deviations from a moving average. This moving average is fully customizable (type, period to be taken into account, etc.). This indicator also multiplies the moving average with a configurable coefficient, to give dynamic support and resistance levels. Finally, the BEI also provides reversal signals to alert you to any risk of trend change, on any asset.
The Idea
The goal is to provide the community with a visual and customizable tool for analyzing large price deviations from an average.
How to Use
Very simple to use, this indicator plots colored zones according to the price's deviation from the moving average. Moving average extensions also provide dynamic support and resistance. Finally, signals alert you to potential reversal points.
Elements
The Moving Average
The Moving Average, which defaults to a gray line over 200 periods, serves as a stable reference point. It is accompanied by an Index, whose color varies from yellow to orange to red, offering an overview of market conditions.
Extensions
These dynamic lines can be used to determine effective supports and resistances.
Signals
Green and red triangles serve as clear indicators for buy and sell signals.
Settings
Mainly, the type of moving average is configurable. The default is an SMA.
A Simple Moving Average (SMA) calculates the average of a selected range of prices by the number of periods in that range.
But you can also, for example, switch the mode to EMA.
The Exponential Moving Average (EMA) is a moving average that places a greater weight and significance on the most recent data points:
You also have WMA.
A Weighted Moving Average (WMA) gives more weight on recent data and less on past data:
And finally, the possibility of having a PCMA.
PCMA takes into account the highest and lowest points in the lookback period and divides this by two to obtain an average:
You can change other parameters such as lookback periods, as well as the coefficient used to define extension lines.
You can refer to the tooltips directly in the indicator parameters.
For those who prefer a minimalist display, you can activate a "Bar Color" in the settings (You must also uncheck "Borders" and "Wick" in your Chart Settings), and deactivate all other elements as you wish:
Finally, you can customize all the different colors, as well as the parameters of the table that indicates the Index value and the asset trend.
How it Works
The Index is calculated using the following method:
abs_distance = math.abs(close - base_ma)
bei = (abs_distance - ta.lowest(abs_distance, lookback_norm)) / (ta.highest(abs_distance, lookback_norm) - ta.lowest(abs_distance, lookback_norm)) * 100
Signals are triggered according to the following conditions:
A Long (buy) signal is triggered when the Index falls below 100, when the closing price is lower than 5 periods ago, and when the price is under the moving average.
A Short (sell) signal is triggered when the Index falls below 100, when the closing price is greater than 5 periods ago, and when the price is above the moving average.
TrailingTakeProfit exampleQuite recently I came upon a concept of Trailing Take Profit and I couldn't find a PineScript which implements it for the fastest possible execution, so here it is :)
Everybody knows Trailing StopLoss - an invisible mechanism follows the price and exits the trade once the price retreats too much from its recent most extended favourable value. Trailing TakeProfit does the similar thing, but at the opposite end - the trade gets closed if a price moves too well, in too favourable extent.
Why close the trade if it is going so good? Well, whatever goes up, must go down and vice versa. It is expected, that after fast rally a market will soon fall and after a dump it will go up. So Trailing TakeProfit's role is to secure profits.
But how does Trailing TakeProfit differ from the standard one? "Trailing" means, the exit level is moving. Its role is to be executed only after a rapid favourable move within 1-2 candles, not more. We never know when a rapid move happens, but when it does, we wanna catch those pips and quickly exit without looking back.
Visually Trailing TakeProfit levels are... bands. In this script example these are ATR multiplied bands (aka Keltner Channel), but they could also be Bollinger Bands or something else.
The code is simple just to focus on this single functionality, so you can quickly copy-paste it into your script. Entries are triggered by default SMA crosses.
P.S. I wouldn't be myself, if I didn't add alert messages compatible with the syntax of recently revamped TradingConnector - both in the code already and in the table showing them.
