BBPBΔ(OBV-PVT)BB - Time Series Decomposition & Volume WeightedThis is an indicator that shows 5 different points of information:
#1 The Trendline is uses a time-series decomposition to remove noise and seasonality data to provide a trendline without using moving averages. This is then further processed by a custom VWAP block that weights it based on the time frame you're currently using.
#2 BB%B - This is the blue histogram that's partially transparent. This is used to find when a security is overbought or oversold.
#3 BB%B of the Δ(OBV-PVT). This is the green histogram. We took the OBV and subtracted the PVT from it, then we found the delta of that compared to the previous candle. This output a line, which we wrapped in bollinger bands to find the BB%B of this line. This line is represented as a histogram, for visual clarity.
#4 Long and Short Indicators: Long is represented by a green dot, and short is represented by a red dot.
#5 Zones - there are multiple zones, which are used to identify overbought and oversold zones.
How to use the indicator:
Simple way: Long on green dot, Short on red dot. Use stop losses and take profits.
Slightly More Complex: Same as above, but also close out longs, when the green histogram drops but the blue does not. As this means price action hasn't caught up with volume. Use stop losses and take profits.
Full Usage: Long only when both the green, blue and yellow lines are below 0, and sell when the blue or green histogram rises above 1. Perform the opposite for the shorting. Ignore the dots if you use this method, they are for simple reference points til you get used to this indicator. Use stop losses and take profits.
Cari dalam skrip untuk "stop loss"
Ticker SummaryTicker Summary provides at-a-glance summary information about a ticker near the current bar on the chart:
P/E ratio
Fwd P/E ratio
PEG ratio
Floating shares vs. total shares outstanding
% of trading volume that was short over the last 3 days
Average True Range (ATR) over last 14 days
There are a few less common items of information:
How many ATR multiples the ATR is extended over the last 10 bars. This gives an idea of how far the stock is currently extended.
"R-frequency", explained below.
An optional "ATR Reticule" is shown near the price. This is useful for traders that use ATR as a guideline for price targets and stop losses. On the left is the # of ATRs the stock is currently above the session open. On the right is the # of ATRs the stock is extended above the 10-bar moving average.
R-frequency: a measure of liquidity relevant to your own trading size. It is the frequency at which 1-R of your trading account is traded for a stock. Formula:
(1-R worth of shares) / (average dollar value traded per second), where:
"1-R worth of shares" is how many shares you would buy for a stop loss of -1 ATR, with max risk dollar value based on the Balance and Max Risk % indicator options.
"Average dollar value traded per second" is the 14-day average of (avg(high, low and close) * daily volume)
R-frequency of a second or less is very liquid. If the value is higher (for example, over 60 seconds) the stock is less liquid and you may have some trouble filling limit orders quickly.
TradePro Parabolic SAR BackgroundTradePro Parabolic SAR Background
This indicator is a small tribute to youtuber TradePro
The operation is simple. It is the same Parabolic SAR indicator with its default configuration, but in background format. It is a new way to visualize the same information, more understandably. It is in itself a complete trading system, it can be used in conjunction with the traditional Parabolic SAR to locate the stop loss.
Parabolic SAR
In stock and securities market technical analysis, parabolic SAR (parabolic stop and reverse) is a method devised by J. Welles Wilder, Jr., to find potential reversals in the market price direction of traded goods such as securities or currency exchanges such as forex. It is a trend-following (lagging) indicator and may be used to set a trailing stop loss or determine entry or exit points based on prices tending to stay within a parabolic curve during a strong trend.
Similar to option theory's concept of time decay, the concept draws on the idea that "time is the enemy". Thus, unless a security can continue to generate more profits over time, it should be liquidated. The indicator generally works only in trending markets, and creates "whipsaws" during ranging or, sideways phases. Therefore, Wilder recommends first establishing the direction or change in direction of the trend through the use of parabolic SAR, and then using a different indicator such as the Average Directional Index to determine the strength of the trend.
A parabola below the price is generally bullish, while a parabola above is generally bearish. A parabola below the price may be used as support, whereas a parabola above the price may represent resistance.
Kifier's MFI/STOCH Hidden Divergence/Trend BeaterMFI/STOCH Hidden Divergence/Trend Beater
General Idea:
My premise around this strategy was to make a general strategy for crypto that would help out with finding entry positions for when you’re bullish on a crypto and want to hold on for a while, and at the same time avoiding massive drops. Essentially a way to mix long term/ swing trading; I somewhat achieved my goal however it still requires a lot of logic tuning of the trend averages.
I’m a huge proponent of volume indicators and coupled with average closing price, I think this gives a really good idea of what is happening with the market. It gives an idea on the market and retail investor sentiment. This generally gives you logical entry positions (Although I don’t know how amazing that will work with all cryptos, there’s a fine line between a good strategy and one that just rides bubble market conditions, some would argue that’s still a success and others not)
How it works:
There are many components to the strategy that try to do different things:
First of all there are two types of entries, a MFI hidden divergence with a STOCH check, essentially it will only fire when a divergence is detected while STOCH is above 50%, however this might be changed in the future as due to the volatile nature of cryptos, the STOCH is not too effective. The second entry is a simple MFI/STOCH trend, if STOCH is above 50% and the trend is detected to be in a trending long, once a MFI crossover over the 50% line is detected an entry is placed, this is designed to get out profit where the divergence would otherwise be less accurate during strongly trending conditions.
-MFI is a great indicator, as a volume weighted momentum indicator I find it the most accurate of all, the STOCH however is a great indicator to get a general picture of simple market conditions and can filter out the emotional noise of retail investors.
-VWMA and an SMA (The bottom oscillator) gives an idea of the trend tacking into account of the volume, this serves as a more short term filter of the trend for filters.
-OBV checks are done between the OBV and an EMA of the OBV, to get the idea of a volume weighted long trend, which is important for crypto as there are massive rallies to go up due to retail greed, it’s great to jump onto it at the beginning, and get off before the stack of cards fall apart.
-ATR is used to detect when the market is relatively just ranging or moving sideways, which is where the hidden divergence entries are done, during predictable and profitable market conditions.
- Stop loss is based on the closest support of the entry, this is a nice medium of room to breath but also an actual stop loss.
Future plans and improvements:
Currently there’s a lot I want to improve, mostly the divergence detection and the overall sharpe ratio could be much better, but the current value of 0.5 gives me hope that the strategy is onto something. I also want to change TP from a percentage stop to something more dynamic but that might be too optimistic. The current plan is to paper trade test this either by manual or by a python bot, to see how it performs with some user input as well.
Supertrend with Percent Difference from CloseThis script improves the Supertrend indicator by displaying a label that shows the percent difference between the latest closing price & the Supertrend.
This comes in handy when one is using the Supertrend value as a stoploss level. For instance, one would like to have a maximum stop loss level of 8%. Instead of calculating how much percent the price is away from the Supertrend, one can look at the percent label & make an informed decision as to whether initiating a position would have favourable risk/reward or not.
Another utility would be selling into strength when one is using the Supertrend as a trailing stop loss. For instance, if the price is a certain percentage far away from the Supertrend, one may conclude that the price is now extended & either price correction or time correction would ensue, & decide to sell into strength.
Relative VolumeVolume can be a very useful tool if used correctly. Relative volume is designed to filter out the noise and highlight anomalies assisting traders in tracking institutional movements. This tool can be used to identify stop loss hunters and organized dumps. It uses a variety of moving averages to hide usual activity and features an LSMA line to show trend. Trend columns are shown to highlight activity and can be seen at bottom of the volume columns, this is done using ZLSMA and LSMA.
The above chart shows an example of 2 indicators being used on the 15 min chart. The bottom indicator is set to the 1 min chart. Traders can see a large dump on the 1 min chart as institutions wipe out any tight stop losses. Next they buy back in scooping up all those long positions.
This is an example layout using a split screen setup and multiple timeframes ranging from 1 min to 30 mins. This gives a clear indication of trends and make it easy to pickup on institutional behaviour. Tip: Double clicking indicator background will maximize RVOL to the split screen window.
Momentum Trading Strategy (Weekly Chart)The strategy will open position when there is momentum in the stock
The strategy will ride up your stop loss based on the super trend.
The strategy will close your operation when the market price crossed the stop loss.
The strategy will close operation when the line based on the volatility will crossed
Double DojiStrategy Kiss = 'Keep It Simple, Stupid' or 'Keep It Simple, Smart'
The script simply identifies 2 consecutive Doji candles, and calculates Target on both the sides for given Reward : Risk factor.
The High-Low to Open-Close ratio is set to default value 20. The Reward : Risk ratio is of default value 2.
Both can be set to values of your choice.
Accuracy best on Daily chart. Can be tried on any timeframe though.
Trading Rules: Buy at higher / Short at lower of the 2 candles, with other as Stop Loss.
If a Stop Loss is hit, go for reverse trade. If again a SL is hit, switch to other instrument.
Important: If trading in Futures and target is achieved, hedge the position by buying an option (subject to liquidity).
Reason is, the trend may condition to any extent and you would definitely not want to miss out the whole action.
Check the shared example. For a risk to 175 points, reward is 2200+ points (more than 12.5 times).
Forex Scalp Triggersthe triggers only work to tell you go back 5 candles on 5 min, take either lowest or highest plus 3 pips and make entry and go 3 pip over under trigger for stop loss. can take half profit at 1x and move stop to break even and go 1x more for take rest profit, or create a trailing stop loss on Take Profit level 2 and ride the trend.
1 Hour chart has to be over under the emas that are faned out nicely to move to 5 min chart to look for the signals if 1hr chart isnt over under the emas nicely then NO TRADE
ForexSignalTV helped create this strategy, just my first script so learning, want to take it to next level but kind of stuck for now. More knowledge coming...
Buy the Dips (by Coinrule)Taking your first steps into automated trading may be challenging. Coinrule's mission is to make it as easy as possible, also for beginners.
Here follows the best trading strategy to get started with Coinrule. This strategy doesn't involve complex indicators, yet was proved to be effective in the long term for many coins. Results seem to be improved when trading a coin vs Bitcoin.
The strategy buys the dips of a coin to sell with a profit. A stop-loss protects every trade.
Crypto markets offer high volatility and, thus, excellent opportunities for trading. Excluding times of severe downtrend, buying the dip is a simple and effective long-term trading strategy. The buy-signal is set to a 2% drop in a 30-minutes time frame.
Each trade comes with a take profit and a stop loss. Both set at 2%.
You can adjust these percentages to the market volatility as an advanced setup. You can backtest the outcomes using the backtesting tool from Tradingview
The strategy assumes each order to trade 30% of the available capital. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
TrendMaAlignmentStrategy - Long term tradesThis is another strategy based on moving average alignment and HighLow periods. This is more suitable for long term trend traders and mainly for stocks.
Candle is colored lime if : Lookback Period has at least one bar with moving averages fully aligned OR None of the bars in Lookback periods has negatively aligned moving averages (More than half are positively aligned).
Candle is colored orange if : Lookback Period has at least one bar with moving averages fully aligned in negative way OR none of the bars in lookback has positively aligned moving averages (More than half are negatively aligned).
If either of above conditions are met, candle is colored silver.
Moving average alignment parameters:
Moving Average Type : MA Type for calculating Aligned Moving Average Index
Lookback Period : Lookback period to check highest and lowest Moving Average index.
HighLow parameters:
Short High/Low Period: Short period to check highs and lows
Long High/Low Period: Longer Period to check highs and lows.
If short period high == long period high, which means, instrument has made new high in the short period.
ATR Parameters:
ATR Length: ATR periods
StopMultiplyer: To set stop loss.
ReentryStopMultiplyer: This is used when signal is green buy stop loss on previous trade is hit. In such cases, new order will not be placed until it has certain distance from stop line.
Trade Prameters:
Exit on Signal : To be used with caution. Enabling it will allow us to get out on bad trades early and helps exit trades in long consolidation periods. But, this may also cause early exit in the trend. If instrument is trending nicely, it is better to keep this setting unchecked.
Trade direction : Default is long only. Short trades are not so successful in backtest. Use it with caution.
Backtest years : limit backtesting to certain years.
Part of the logic used from study's below:
Other strategies based on these two studies are below (which are meant for short - medium terms):
2 Candles Inside ATR2 agitated candles falling inside ATR range, awaiting possibly a big move.
Buy / Sell signals at combined high / low can be used as order with other as stop loss.
Counter trade, when this minimal stop loss is hit, is also as useful. However, wait till the SL candle closes, before opening position on the other side.
Works quite well on 15 mins chart, with settings of ATR duration 25 and multiplier 0.6. These settings are configurable, so feel free.
inwCoin Percent from all-time highSimple study to show the fact to some newbies in the market that it is VERY HARD to make a profit and get your portfolio back to all-time high if you don't know how to stop loss...
Some people think "Oh, ez if you down -90% you need only +90% to get 100% of your capital again"
But... actually....if your portfolio down -90% you need to go 1000% from current price to reach your start capital!!!!
This study will show
- Current symbol detail
- Percent down from All-time High ( ATH )
- Percent up from current price to reach ATH again
Profit and Stoploss CalculatorThis script is designed to display three stop loss areas to assist either with automation of risk management or identify and alert when price is in a range of a trade for risk to reward ratio.
In this version there are three stop losses and 1 PT. Mainly because i will most likely only be using 1 of the SL to pair with the PT.
Stoploss areas are displayed on both sides of the price for long and short calculations along with the two profit factors but the settings in the indicator it self apply to both sides in terms of percentage.
[BoTo] Pump&Dump StrategyThis strategy uses only long positions. It isn't used short positions, it doesn't use marginal trade, it doesn't use a pyramiding.
It is strategy uses only one indicator. Ourselves have constructed the indicator for cryptocurrencies. We called it 'Pump&Dump Ocsilator'. You can read as this indicator works here:
Not usual stop
Strategy uses 2 ways for closing of an unprofitable position. But it is possible to use only one way.
Way 1: if the indicator has distinguished a dump, then the long position needs to be closed when the candle is closed (for an example: to close a position when time 00:00 if you have chosen daily timeframe)
Way 2: the user himself chooses the size in settings of this script. Percent. If the user has chosen 100%, means isn't used absolutely. Because the price will never fall by 100%. If the user has chosen less than 100%, for example 5%, then the long position needs to be closed if the low of a candle was less than this price level of choosed stop-loss. But the position needs to be closed too when the candle is closed.
Strategy
A pump-signal: if the candle green and her body is 3 times more than norm
A dump-signal: on the contrary, if the candle red and her body is 3 times more than norm
For opening of a long position: it is necessary any pump-signal (if the position hasn't been open yet)
For closing of a long position: several ways:
1) Or any dump-signal is necessary
2) Or a stop-loss which was chosen by the user is necessary
MACDouble & StochRSI w/ safeties and variable time interval v0.3UPDATE:
IMPORTANT!!! MAKE SURE "RECALCULATE AFTER ORDER FILLED" IS CHECKED. I will have it on by default in the future.
This is a continuation of my previous scripts of two MACD indicators with a Stochastic RSI indicator.
New features:
- Alternate MACD time interval
You can now set the time interval for the second MACD indicator to a different resolution than the displayed chart.
Uncheck the box and select the desired interval. For example, if your chart is set to 15min then first MACD will be set at 15 min and you can select 5 min for the second MACD.
- Alternate StoRSI time interval
You can (and should) set the StochRSI to a different time interval as well. StochRSI hasn't worked great with previous versions. Now you can set it to a different time resolution as well. I strongly recommend you set it at a higher (slower) resolution; for example if your chart is set at 15min then you should test setting the StochRSI at 30 or 45min.
- ' True" StochRSI logic
Trading logic for StochRSI is now a true StochRSI, instead of just reading "k" and ignoring "d", K now has to be greater than D to buy and less than to sell.
- Safeties
A primitive but low risk safety in the form of an uptrend/downtrend price safety. If current close+high isn't greater than the previous close and high then the buy order will not be executed. The same applies for sell orders.
- Cap on losses from short positions
A stop loss safety set to 9000 for exiting sell positions. This will need refinement in the future but this puts a cap on losses from any sell position. At an initial currency of 10,000 this translates to 90.00. If it is giving you problems simply delete line 78 from the source code.
Please feel free to ask any questions or send me suggestions. This is still very much a work in progress and I'll try to polish up the rough spots but it is fully functional. With a slower StochRSI and the safeties I have gotten it to consistently outperform the old 2x MACD strategy script---typically by 3-fold.
₿ober XM v1.3# ₿ober XM v1.3 Trading Bot Documentation
## Overview
The ₿ober XM v1.3 is an advanced dual-channel trading bot. It integrates multiple technical indicators, customizable risk management, and advanced order execution via webhook for automated trading. The bot's distinctive feature is its separate channel systems for long and short positions, allowing for asymmetric trade strategies that adapt to different market conditions.
### Key Features
- **Dual-Channel System**: Independent indicator settings for long and short positions
- **Multiple Entry Strategies**: Breakout, Pullback, and Mean Reversion options
- **Machine Learning Integration**: Predictive MLMA (Machine Learning Moving Average) for enhanced trend detection
- **Comprehensive Filtering**: Combines momentum, volatility, volume, and trend filters
- **Advanced Risk Management**: Dynamic position sizing, multiple stop-loss types, and trailing stops
- **Webhook Integration**: Direct connectivity to exchanges or third-party platforms
- **Configurable OBV MA Types**: Choose from multiple moving average types for OBV calculations
### General Settings
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Long Positions** | Enable or disable long trades | Enabled |
| **Short Positions** | Enable or disable short trades | Enabled |
| **Risk/Reward Area** | Visual display of stop-loss and take-profit zones | Enabled |
| **Long Entry Source** | Price data used for long entry signals | hl2 (High+Low/2) |
| **Short Entry Source** | Price data used for short entry signals | hl2 (High+Low/2) |
The bot allows you to trade long positions, short positions, or both simultaneously. Each direction has its own set of parameters, allowing for fine-tuned strategies that recognize the asymmetric nature of market movements.
### Webhook Configuration
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Long Entry Comment** | Webhook message for long entries | "ENTER-LONG" |
| **Short Entry Comment** | Webhook message for short entries | "ENTER-SHORT" |
| **Exit Comment** | Webhook message for position exits | "EXIT-ALL" |
| **Leverage** | Position size multiplier | 1.0 |
| **Reduce Only** | Restrict orders to reducing positions | Enabled |
| **Exchange Conditional Orders** | Place SL/TP directly on exchange | Disabled |
The webhook system allows for seamless integration with exchanges or third-party platforms:
- **Benefits**:
- Automated trade execution without manual intervention
- Immediate response to market conditions
- Consistent execution of your strategy
- **Implementation Notes**:
- Requires proper webhook configuration on your exchange or platform
- Test thoroughly with small position sizes before full deployment
- Consider latency between signal generation and execution
### Backtesting Period
Define a specific historical period to evaluate the bot's performance:
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Start Date** | Beginning of backtest period | January 1, 2025 |
| **End Date** | End of backtest period | December 31, 2026 |
- **Best Practice**: Test across different market conditions (bull markets, bear markets, sideways markets)
- **Limitation**: Past performance doesn't guarantee future results
## Entry and Exit Strategies
### Dual-Channel System
A key innovation of the Bober XM is its dual-channel approach:
- **Independent Parameters**: Each trade direction has its own channel settings
- **Asymmetric Trading**: Recognizes that markets often behave differently in uptrends versus downtrends
- **Optimized Performance**: Fine-tune settings for both bullish and bearish conditions
This approach allows the bot to adapt to the natural asymmetry of markets, where uptrends often develop gradually while downtrends can be sharp and sudden.
### Channel Types
#### 1. Keltner Channels
Traditional volatility-based channels using EMA and ATR:
| Setting | Long Default | Short Default |
|---------|--------------|---------------|
| **EMA Length** | 37 | 20 |
| **ATR Length** | 13 | 17 |
| **Multiplier** | 1.4 | 1.9 |
| **Source** | low | high |
- **Strengths**:
- Reliable in trending markets
- Less prone to whipsaws than Bollinger Bands
- Clear visual representation of volatility
- **Weaknesses**:
- Can lag during rapid market changes
- Less effective in choppy, non-trending markets
#### 2. Machine Learning Moving Average (MLMA)
Advanced predictive model using kernel regression (RBF kernel):
| Setting | Long Default | Short Default |
|---------|--------------|---------------|
| **Window Size** | 16 | 16 |
| **Forecast Length** | 3 | 3 |
| **Noise Parameter** | 0.43 | 0.44 |
| **Band Multiplier** | 0.6 | 0.5 |
| **Source** | low | high |
- **Strengths**:
- Predictive rather than reactive
- Adapts quickly to changing market conditions
- Better at identifying trend reversals early
- **Weaknesses**:
- More computationally intensive
- Requires careful parameter tuning
- Can be sensitive to input data quality
### Entry Strategies
| Strategy | Description | Ideal Market Conditions |
|----------|-------------|-------------------------|
| **Breakout** | Enters when price breaks through channel bands, indicating strong momentum | High volatility, emerging trends |
| **Pullback** | Enters when price retraces to the middle band after testing extremes | Established trends with regular pullbacks |
| **Mean Reversion** | Enters at channel extremes, betting on a return to the mean | Range-bound or oscillating markets |
#### Breakout Strategy (Default)
- **Implementation**: Enters long when price crosses above the upper band, short when price crosses below the lower band
- **Strengths**: Captures strong momentum moves, performs well in trending markets
- **Weaknesses**: Can lead to late entries, higher risk of false breakouts
- **Optimization Tips**:
- Increase channel multiplier for fewer but more reliable signals
- Combine with volume confirmation for better accuracy
#### Pullback Strategy
- **Implementation**: Enters long when price pulls back to middle band during uptrend, short during downtrend pullbacks
- **Strengths**: Better entry prices, lower risk, higher probability setups
- **Weaknesses**: Misses some strong moves, requires clear trend identification
- **Optimization Tips**:
- Use with trend filters to confirm overall direction
- Adjust middle band calculation for market volatility
#### Mean Reversion Strategy
- **Implementation**: Enters long at lower band, short at upper band, expecting price to revert to the mean
- **Strengths**: Excellent entry prices, works well in ranging markets
- **Weaknesses**: Dangerous in strong trends, can lead to fighting the trend
- **Optimization Tips**:
- Implement strong trend filters to avoid counter-trend trades
- Use smaller position sizes due to higher risk nature
### Confirmation Indicators
#### Pivot Point SuperTrend
Combines pivot points with ATR-based SuperTrend for trend confirmation:
| Setting | Default Value |
|---------|---------------|
| **Pivot Period** | 25 |
| **ATR Factor** | 2.2 |
| **ATR Period** | 41 |
- **Function**: Identifies significant market turning points and confirms trend direction
- **Implementation**: Requires price to respect the SuperTrend line for trade confirmation
#### Weighted Moving Average (WMA)
Provides additional confirmation layer for entries:
| Setting | Default Value |
|---------|---------------|
| **Period** | 15 |
| **Source** | ohlc4 (average of Open, High, Low, Close) |
- **Function**: Confirms trend direction and filters out low-quality signals
- **Implementation**: Price must be above WMA for longs, below for shorts
### Exit Strategies
#### On-Balance Volume (OBV) Based Exits
Uses volume flow to identify potential reversals:
| Setting | Default Value |
|---------|---------------|
| **Source** | ohlc4 |
| **MA Type** | HMA (Options: SMA, EMA, WMA, RMA, VWMA, HMA) |
| **Period** | 22 |
- **Function**: Identifies divergences between price and volume to exit before reversals
- **Implementation**: Exits when OBV crosses its moving average in the opposite direction
- **Customizable MA Type**: Different MA types provide varying sensitivity to OBV changes:
- **SMA**: Traditional simple average, equal weight to all periods
- **EMA**: More weight to recent data, responds faster to price changes
- **WMA**: Weighted by recency, smoother than EMA
- **RMA**: Similar to EMA but smoother, reduces noise
- **VWMA**: Factors in volume, helpful for OBV confirmation
- **HMA**: Reduces lag while maintaining smoothness (default)
#### ADX Exit Confirmation
Uses Average Directional Index to confirm trend exhaustion:
| Setting | Default Value |
|---------|---------------|
| **ADX Threshold** | 35 |
| **ADX Smoothing** | 60 |
| **DI Length** | 60 |
- **Function**: Confirms trend weakness before exiting positions
- **Implementation**: Requires ADX to drop below threshold or DI lines to cross
## Risk Management System
### Position Sizing
Automatically calculates position size based on account equity and risk parameters:
| Setting | Default Value |
|---------|---------------|
| **Risk % of Equity** | 50% |
- **Implementation**:
- Position size = (Account equity × Risk %) ÷ (Entry price × Stop loss distance)
- Adjusts automatically based on volatility and stop placement
- **Best Practices**:
- Start with lower risk percentages (1-2%) until strategy is proven
- Consider reducing risk during high volatility periods
### Stop-Loss Methods
Multiple stop-loss calculation methods with separate configurations for long and short positions:
| Method | Description | Configuration |
|--------|-------------|---------------|
| **ATR-Based** | Dynamic stops based on volatility | ATR Period: 14, Multiplier: 2.0 |
| **Percentage** | Fixed percentage from entry | Long: 1.5%, Short: 1.5% |
| **PIP-Based** | Fixed currency unit distance | 10.0 pips |
- **Implementation Notes**:
- ATR-based stops adapt to changing market volatility
- Percentage stops maintain consistent risk exposure
- PIP-based stops provide precise control in stable markets
### Trailing Stops
Locks in profits by adjusting stop-loss levels as price moves favorably:
| Setting | Default Value |
|---------|---------------|
| **Stop-Loss %** | 1.5% |
| **Activation Threshold** | 2.1% |
| **Trailing Distance** | 1.4% |
- **Implementation**:
- Initial stop remains fixed until profit reaches activation threshold
- Once activated, stop follows price at specified distance
- Locks in profit while allowing room for normal price fluctuations
### Risk-Reward Parameters
Defines the relationship between risk and potential reward:
| Setting | Default Value |
|---------|---------------|
| **Risk-Reward Ratio** | 1.4 |
| **Take Profit %** | 2.4% |
| **Stop-Loss %** | 1.5% |
- **Implementation**:
- Take profit distance = Stop loss distance × Risk-reward ratio
- Higher ratios require fewer winning trades for profitability
- Lower ratios increase win rate but reduce average profit
## Advanced Filtering System
### Momentum & Trend Filters
#### ADX Based Momentum Filter
| Setting | Default Value |
|---------|---------------|
| **Use Filter** | Enabled |
| **Apply D+/D- Check** | Enabled |
| **ADX Smoothing** | 34 |
| **DI Length** | 28 |
| **ADX Threshold** | 19 |
- **Function**: Ensures trades are taken only in strong trending conditions
- **Implementation**: Requires ADX above threshold for trade entry
#### RSI Filter
Uses Relative Strength Index to avoid overbought/oversold conditions:
| Setting | Default Value | Status |
|---------|---------------|--------|
| **RSI Period** | 14 | Disabled |
| **Overbought Level** | 70 | |
| **Oversold Level** | 30 | |
- **Function**: Prevents entries in potentially exhausted market conditions
- **Implementation**: Blocks long entries when RSI > 70, short entries when RSI < 30
### Volatility Filter
Controls trading during excessive market volatility:
| Setting | Default Value |
|---------|---------------|
| **Measure** | ATR |
| **Period** | 8 |
| **Threshold** | 1.3 |
| **Source** | ohlc4 |
- **Function**: Prevents trading during unpredictable market conditions
- **Implementation**: Blocks trades when current volatility exceeds threshold × average volatility
### Volume Filter
Ensures adequate market liquidity for trades:
| Setting | Default Value |
|---------|---------------|
| **Threshold** | 1.1× average |
| **Average Period** | 4 |
| **Smoothing Period** | 18 |
- **Function**: Prevents trading during low liquidity conditions
- **Implementation**: Requires current volume to exceed threshold × average volume
### Filter Combinations
The bot allows for simultaneous application of multiple filters:
- **Recommended Combinations**:
- Trending markets: ADX + Volume filters
- Ranging markets: Volatility + RSI filters
- All markets: Volume filter as minimum requirement
- **Performance Impact**:
- Each additional filter reduces the number of trades
- Quality of remaining trades typically improves
- Optimal combination depends on market conditions and timeframe
## Visual Indicators and Chart Analysis
The bot provides comprehensive visual feedback on the chart:
- **Channel Bands**: Keltner or MLMA bands showing potential support/resistance
- **Pivot SuperTrend**: Colored line showing trend direction and potential reversal points
- **Entry/Exit Markers**: Annotations showing actual trade entries and exits
- **Risk/Reward Zones**: Visual representation of stop-loss and take-profit levels
These visual elements allow for:
- Real-time strategy assessment
- Post-trade analysis and optimization
- Educational understanding of the strategy logic
## Implementation Guide
### TradingView Setup
1. Load the script in TradingView Pine Editor
2. Apply to your preferred chart and timeframe
3. Adjust parameters based on your trading preferences
4. Enable alerts for webhook integration
### Webhook Integration
1. Configure webhook URL in TradingView alerts
2. Set up receiving endpoint on your trading platform
3. Define message format matching the bot's output
4. Test with small position sizes before full deployment
### Optimization Process
1. Backtest across different market conditions
2. Identify parameter sensitivity through multiple tests
3. Focus on risk management parameters first
4. Fine-tune entry/exit conditions based on performance metrics
5. Validate with out-of-sample testing
## Performance Considerations
### Strengths
- Adaptability to different market conditions through dual channels
- Multiple layers of confirmation reducing false signals
- Comprehensive risk management protecting capital
- Machine learning integration for predictive edge
### Limitations
- Complex parameter set requiring careful optimization
- Potential over-optimization risk with so many variables
- Computational intensity of MLMA calculations
- Dependency on proper webhook configuration for execution
### Best Practices
- Start with conservative risk settings (1-2% of equity)
- Test thoroughly in demo environment before live trading
- Monitor performance regularly and adjust parameters
- Consider market regime changes when evaluating results
## Conclusion
The ₿ober XM v1.3 represents a sophisticated trading system combining traditional technical analysis with machine learning elements. Its dual-channel approach and comprehensive filtering system make it adaptable to various market conditions, while its risk management features help protect capital during adverse movements.
The addition of selectable OBV MA types in v1.3 provides further customization, allowing traders to fine-tune the exit strategy sensitivity according to market conditions and personal preferences. This enhancement offers more control over exit signals, potentially improving trade outcome profitability.
The bot is designed for traders who understand that no system is perfect, but that edge can be found through careful optimization and disciplined execution. With proper setup and realistic expectations, it provides a framework for systematic cryptocurrency trading across various market conditions.
2025 - Licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Dynamic Liquidity Depth [BigBeluga]
Dynamic Liquidity Depth
A liquidity mapping engine that reveals hidden zones of market vulnerability. This tool simulates where potential large concentrations of stop-losses may exist — above recent highs (sell-side) and below recent lows (buy-side) — by analyzing real price behavior and directional volume. The result is a dynamic two-sided volume profile that highlights where price is most likely to gravitate during liquidation events, reversals, or engineered stop hunts.
🔵 KEY FEATURES
Two-Sided Liquidity Profiles:
Plots two separate profiles on the chart — one above price for potential sell-side liquidity , and one below price for potential buy-side liquidity . Each profile reflects the volume distribution across binned zones derived from historical highs and lows.
Real Stop Zone Simulation:
Each profile is offset from the current high or low using an ATR-based buffer. This simulates where traders might cluster their stop-losses above swing highs (short stops) or below swing lows (long stops).
Directional Volume Analysis:
Buy-side volume is accumulated only from bullish candles (close > open), while sell-side volume is accumulated only from bearish candles (close < open). This directional filtering enhances accuracy by capturing genuine pressure zones.
Dynamic Volume Heatmap:
Each liquidity bin is rendered as a horizontal box with a color gradient based on volume intensity:
- Low activity bins are shaded lightly.
- High-volume zones appear more vividly in red (sell) or lime (buy).
- The maximum volume bin in each profile is emphasized with a brighter fill and a volume label.
Extended POC Zones:
The Point of Control (PoC) — the bin with the most volume — is extended backwards across the entire lookback period to mark critical resistance (sell-side) or support (buy-side) levels.
Total Volume Summary Labels:
At the center of each profile, a summary label displays Total Buy Liquidity and Total Sell Liquidity volume.
This metric helps assess directional imbalance — when buy liquidity is dominant, the market may favor upward continuation, and vice versa.
Customizable Profile Granularity:
You can fine-tune both Resolution (Bins) and Offset Distance to adjust how far profiles are displaced from price and how many levels are calculated within the ATR range.
🔵 HOW IT WORKS
The indicator calculates an ATR-based buffer above highs and below lows to define the top and bottom of the liquidity zones.
Using a user-defined lookback period, it scans historical candles and divides the buffered zones into bins.
Each bin checks if bullish (or bearish) candles pass through it based on price wicks and body.
Volume from valid candles is summed into the corresponding bin.
When volume exists in a bin, a horizontal box is drawn with a width scaled by relative volume strength.
The bin with the highest volume is highlighted and optionally extended backward as a zone of importance.
Total buy/sell liquidity is displayed with a summary label at the side of the profile.
🔵 USAGE/b]
Identify Stop Hunt Zones: High-volume clusters near swing highs/lows are likely liquidation zones targeted during fakeouts.
Fade or Follow Reactions: Price hitting a high-volume bin may reverse (fade opportunity) or break with strength (confirmation breakout).
Layer with Other Tools: Combine with market structure, order blocks, or trend filters to validate entries near liquidity.
Adjust Offset for Sensitivity: Use higher offset to simulate wider stop placement; use lower for tighter scalping zones.
🔵 CONCLUSION
Dynamic Liquidity Depth transforms raw price and volume into a spatial map of liquidity. By revealing areas where stop orders are likely hidden, it gives traders insight into price manipulation zones, potential reversal levels, and breakout traps. Whether you're hunting for traps or trading with the flow, this tool equips you to navigate liquidity with precision.
Guppy Multiple Moving Average (GMMA)The GMMA Momentum Indicator plots 12 EMAs on your chart, divided into two groups:
Short-term EMAs (6 lines, default periods: 3, 5, 8, 10, 12, 15): Represent short-term trader sentiment and momentum.
Long-term EMAs (6 lines, default periods: 30, 35, 40, 45, 50, 60): Reflect long-term investor behavior and broader market trends.
By analyzing the interaction between these two groups, the indicator identifies:
Bullish and bearish trends based on the relative positions of the short- and long-term EMAs.
Momentum strength through the spread or convergence of the EMAs.
Potential reversals or breakouts via compression signals.
This PineScript version enhances the traditional GMMA by adding visual cues like background colors, bearish signals, and compression detection, making it ideal for swing traders seeking clear, actionable insights.
The GMMA Momentum Indicator provides several key features:
1. Trend Identification
Bullish Trend: When the short-term EMAs (green lines) are above the long-term EMAs (blue lines) and spreading apart, it signals strong upward momentum. The chart background turns light green to highlight this condition.
Bearish Trend: When the short-term EMAs cross below the long-term EMAs and converge, it indicates downward momentum. The background turns light red, and an orange downward triangle appears above the bar to mark a new bearish signal.
2. Momentum Analysis
The spread between the short-term EMAs reflects the strength of short-term momentum. A wide spread suggests strong momentum, while a tight grouping indicates weakening momentum or consolidation. Similarly, the long-term EMAs act as dynamic support or resistance, guiding traders on the broader trend.
3. Compression Detection
Compression occurs when both the short-term and long-term EMAs converge, signaling low volatility and a potential breakout or reversal. A yellow upward triangle appears below the bar when compression is detected, alerting traders to watch for price action.
4. Visual Cues
Green short-term EMAs: Show short-term trader activity.
Blue long-term EMAs: Represent long-term investor sentiment.
Background colors: Light green for bullish trends, light red for bearish trends, and transparent for neutral conditions.
Orange downward triangles: Mark new bearish trends.
Yellow upward triangles: Indicate compression, hinting at potential breakouts.
How to Use the GMMA Momentum Indicator for Swing Trading
Swing trading involves capturing price moves over days to weeks, and the GMMA Momentum Indicator is an excellent tool for this strategy. Here’s how to use it effectively:
1. Identifying Trade Entries
Buy Opportunities:
Look for a bullish trend (green background) where the short-term EMAs are above the long-term EMAs and spreading apart, indicating strong momentum.
A compression signal (yellow triangle) followed by a breakout above resistance or a bullish candlestick pattern can confirm an entry.
Example: On a daily chart, if the short-term EMAs cross above the long-term EMAs and the background turns green, consider entering a long position, especially if volume supports the move.
Sell Opportunities:
Watch for a bearish signal (orange downward triangle) or a bearish trend (red background) where the short-term EMAs cross below the long-term EMAs.
Example: If the short-term EMAs collapse below the long-term EMAs and an orange triangle appears, it may signal a shorting opportunity or a time to exit longs.
2. Managing Trades
Use the long-term EMAs as dynamic support (in uptrends) or resistance (in downtrends) to set stop-loss levels or trail stops.
Monitor the spread of the short-term EMAs. A widening spread suggests the trend is strong, while convergence may indicate it’s time to take profits or tighten stops.
3. Anticipating Reversals
Compression signals (yellow triangles) highlight periods of low volatility, often preceding significant price moves. Combine these with price action (e.g., breakouts or reversals) or other indicators (e.g., RSI or volume) for confirmation.
Example: If a compression signal appears near a key support level and the price breaks upward, it could signal the start of a new bullish swing.
4. Best Practices
Timeframes: The indicator works well on daily or 4-hour charts for swing trading, but you can adjust the EMA periods for shorter (e.g., 1-hour) or longer (e.g., weekly) timeframes.
Confirmation: Combine the GMMA with other tools like support/resistance levels, candlestick patterns, or oscillators (e.g., MACD) to reduce false signals.
Risk Management: Always use proper position sizing and stop-losses, as EMAs are lagging indicators and may produce delayed signals in choppy markets.
OA - PowerZones Support And ResistancePowerZones - Dynamic Support/Resistance Identifier
Overview
PowerZones is an advanced technical analysis tool that automatically detects significant support and resistance zones using volume data and pivot points. This indicator pulls data from higher timeframes (weekly by default) to help you identify strong and meaningful levels that are filtered from short-term "noise."
Features
Multi-Timeframe Analysis: Create support/resistance levels from daily, weekly, or monthly data
Volume Filtering: Detect high-volume pivot points to identify more reliable levels
Dynamic Threshold: Volume filter that automatically adjusts to market conditions
Visual Clarity: Support/resistance zones are displayed as boxes with adjustable transparency
Optimal Level Selection: Filter out close levels to focus on the most significant support/resistance points
Use Cases
Entry/Exit Points: Identify trading opportunities at important support and resistance levels
Stop-Loss Placement: Use natural support levels to set more effective stop-losses
Target Setting: Use potential resistance levels as profit-taking targets
Understanding Market Structure: Detect long-term support/resistance zones to better interpret price movement
Input Parameters
Lookback Period: The period used to determine pivot points
Box Width : Adjusts the width of support/resistance zones
Relative Volume Period: The period used for relative volume calculation
Maximum Number of Boxes: Maximum number of support/resistance zones to display on the chart
Box Transparency: Transparency value for the boxes
Timeframe: Timeframe to use for support/resistance detection (Daily, Weekly, Monthly)
How It Works
PowerZones identifies pivot highs and lows in the selected timeframe. It filters these points using volume data to show only meaningful and strong levels. The indicator also consolidates nearby levels, allowing you to focus only on the most important zones on the chart.
Best Practices
Weekly timeframe setting is ideal for identifying long-term important support/resistance levels
Working with weekly levels on a daily chart allows you to combine long-term levels with short-term trades
ATR-based box width creates support/resistance zones that adapt to market volatility
Use the indicator along with other technical indicators such as RSI, MACD, or moving averages to confirm trading signals
Note: Like all technical indicators, this indicator does not guarantee 100% accuracy. Always apply risk management principles and use it in conjunction with other analysis methods to achieve the best results.
If you like the PowerZones indicator, please show your support by giving it a star and leaving a comment!
Ultimate MA & PSAR [TARUN]Overview
This indicator combines a customizable Moving Average (MA) and Parabolic SAR (PSAR) to generate precise long and short trade signals. A dashboard displays real-time trade conditions, including signal direction, entry price, stop loss, and PnL tracking.
Key Features
✅ Customizable MA Type & Period – Choose between SMA or EMA with adjustable length.
✅ Adaptive PSAR Settings – Modify start, increment, and max step values to fine-tune stop levels.
✅ Trade Signal Logic – Identifies potential buy (long) and sell (short) opportunities based on:
Price action relative to MA
MA trend direction (rising or falling)
PSAR confirmation
✅ Dynamic Stop Loss Calculation – Uses lowest low/highest high over a specified period for stop loss placement.
✅ Trade State & Reversal Handling – Manages active trades, pending signals, and stop loss exits dynamically.
✅ PnL & Dashboard Table – Displays real-time signal status, entry price, stop loss, and profit/loss (PnL) in an easy-to-read format.
How It Works
1.Buy (Long) Condition:
MA is rising
Price is above the MA
PSAR is below price
2.Sell (Short) Condition:
MA is falling
Price is below the MA
PSAR is above price
3.Stop Loss Handling:
For long trades → stop loss is set at the lowest low of the last X candles
For short trades → stop loss is set at the highest high of the last X candles
4.Trade Execution & PnL Calculation:
If a valid long/short setup is detected, a pending signal is placed.
On the next bullish (for long) or bearish (for short) candle, the trade is confirmed.
Real-time PnL updates help track trade performance.
Customization Options
🔹 Moving Average: SMA or EMA, adjustable period
🔹 PSAR Settings: Start, Increment, Maximum step values
🔹 Stop Loss Lookback: Choose how many candles to consider for stop loss placement
🔹 Dashboard Positioning: Select preferred display location (top/bottom, left/right)
🔹 Trade Signal Selection: Enable/Disable Long and Short signals individually
How to Use
Add the indicator to your chart.
Customize the MA & PSAR settings according to your trading strategy.
Follow the dashboard signals for trade setups.
Use stop loss levels to manage risk effectively.
Disclaimer
⚠️ This indicator is for educational purposes only and does not constitute financial advice. Always perform proper risk management and backtesting before using it in live trading.
MACD Boundary PSA - CoffeeKillerMACD Boundary PSA - CoffeeKiller Indicator Guide
Welcome traders! This guide will walk you through the MACD Boundary PSA indicator, a powerful market analysis tool developed by CoffeeKiller that enhances the traditional MACD with advanced boundary detection and peak signaling features.
🔔 **Warning: This Indicator Has No Signal Line or MACD Line** 🔔 This indicator is my version of the MACD, that I use in conjunction with the Rev&Line indicator.
Core Concept: Enhanced MACD Analysis
The foundation of this indicator builds upon the classic Moving Average Convergence Divergence (MACD) indicator, adding boundary tracking and peak detection systems to provide clearer signals and market insights.
Histogram Bars: Market Momentum
- Positive Green Bars: Bullish momentum
- Negative Red Bars: Bearish momentum
- Color intensity varies based on momentum strength
- Special coloring for new high/low boundaries
Marker Lines: Dynamic Support/Resistance
- High Marker Line (Magenta): Tracks the highest point reached during a bullish phase
- Low Marker Line (Cyan): Tracks the lowest point reached during a bearish phase
- Acts as dynamic boundaries that help identify strength of current moves
Peak Detection System:
- Triangular markers identify significant local maxima and minima
- Background highlighting shows important momentum peaks
- Helps identify potential reversal points and momentum exhaustion
Core Components
1. MACD Calculation
- Customizable fast and slow moving averages
- Signal line smoothing options
- Flexible MA type selection (SMA or EMA)
- Custom source input options
2. Boundary Tracking System
- Automatic detection of highest values in bullish phases
- Automatic detection of lowest values in bearish phases
- Step-line visualization of boundaries
- Color-coded for easy identification
3. Peak Detection System
- Identification of local maxima and minima
- Background highlighting of significant peaks
- Triangle markers for peak visualization
- Zero-line cross detection for trend changes
4. Time Resolution Control
- Normal mode: calculations based on chart timeframe
- Custom resolution mode: calculations based on specified timeframe
Main Features
Time Resolution Settings
- Normal mode: calculations match your chart's timeframe
- Custom resolution mode: calculations based on specified timeframe
- Helps identify stronger signals from other timeframes
Visual Elements
- Color-coded histogram bars
- Dynamic marker lines for boundaries
- Peak triangles for significant turning points
- Background highlighting for peak identification
Signal Generation
- Zero-line crosses for trend change signals
- Boundary breaks for momentum strength
- Peak formation for potential reversals
- Color changes for momentum direction
Customization Options
- MA types and lengths
- Signal smoothing
- Color schemes
- Marker line visibility
- Peak background display options
Trading Applications
1. Trend Identification
- Histogram crossing above zero: bullish trend beginning
- Histogram crossing below zero: bearish trend beginning
- Histogram color: indicates momentum direction
- Consistent color intensity: trend strength
2. Reversal Detection
- Peak triangles after extended trend: potential exhaustion
- Background highlighting: significant reversal points
- Histogram approaching marker lines: potential trend change
- Color shifts from bright to muted: decreasing momentum
3. Momentum Analysis
- Histogram breaking above previous high boundary: accelerating bullish momentum
- Histogram breaking below previous low boundary: accelerating bearish momentum
- Special coloring (magenta/cyan): boundary breaks indicating strength
- Distance from zero line: overall momentum magnitude
4. Market Structure Assessment
- Consecutive higher peaks: strengthening bullish structure
- Consecutive lower troughs: strengthening bearish structure
- Peak comparisons: relative strength of momentum phases
- Boundary line steps: market structure levels
Optimization Guide
1. MACD Settings
- Fast Length: Shorter values (8-12) for responsiveness, longer values (20+) for smoother signals
- Slow Length: Shorter values (21-34) for more signals, longer values (72+) for major moves
- Default settings (22, 72, 9): balanced approach for most timeframes
- Consider using 8, 21, 5 for shorter timeframes and 34, 144, 5 for longer timeframes
2. MA Type Selection
- EMA: More responsive, follows price more closely
- SMA: Smoother, fewer false signals, potentially more lag
- Mix and match for oscillator and signal lines based on your preference
3. Time Resolution
- Match chart timeframe: for aligned analysis
- Use higher timeframe: for filtering signals
- Lower timeframe: for earlier entries but more noise
4. Color Customization
- Normal bullish/bearish colors: represent standard momentum
- High/low marker line colors: customize visibility
- Peak marker colors: adjust for your visual preference
- Consider chart background when selecting colors
Best Practices
1. Signal Confirmation
- Wait for zero-line crosses to confirm trend changes
- Look for peak formations to identify potential reversals
- Check for boundary breaks to confirm strong momentum
- Use custom timeframe option for higher timeframe confirmation
2. Timeframe Selection
- Lower timeframes: more signals, potential noise
- Higher timeframes: cleaner signals, less frequent
- Custom resolution: allows comparison across timeframes
- Consider using multiple timeframes for confirmation
3. Market Context
- Strong bullish phase: positive histogram breaking above marker line
- Strong bearish phase: negative histogram breaking below marker line
- Histogram approaching zero: potential trend change
- Peak formations: potential exhaustion points
4. Combining with Other Indicators
- Use with trend indicators for confirmation
- Pair with oscillators for overbought/oversold conditions
- Combine with volume analysis for validation
- Consider support/resistance levels with boundary lines
Advanced Trading Strategies
1. Boundary Break Strategy
- Enter long when histogram breaks above previous high marker line
- Enter short when histogram breaks below previous low marker line
- Use zero-line as initial stop-loss reference
- Take profits at formation of opposing peaks
2. Peak Trading Strategy
- Identify significant peaks with triangular markers
- Look for consecutive lower peaks in bullish phases for shorting opportunities
- Look for consecutive higher troughs in bearish phases for buying opportunities
- Use zero-line crosses as confirmation
3. Multi-Timeframe Strategy
- Use custom resolution for higher timeframe MACD trend
- Enter trades when both timeframes align
- Higher timeframe for trend direction
- Chart timeframe for precise entry
4. Histogram Color Strategy
- Enter long when histogram turns bright green (increasing momentum)
- Enter short when histogram turns bright red (increasing momentum)
- Exit when color intensity fades (decreasing momentum)
- Use marker lines as dynamic support/resistance
Practical Analysis Examples
Bullish Market Scenario
- Histogram crosses above zero line
- Green bars grow in height and intensity
- High marker line forms steps upward
- Peak triangles appear at local maxima
- Background highlights appear at significant momentum peaks
Bearish Market Scenario
- Histogram crosses below zero line
- Red bars grow in depth and intensity
- Low marker line forms steps downward
- Peak triangles appear at local minima
- Background highlights appear at significant momentum troughs
Consolidation Scenario
- Histogram oscillates around zero line
- Bar colors alternate frequently
- Marker lines remain relatively flat
- Few or no new peak highlights appear
- Histogram values remain small
Understanding Market Dynamics Through MACD Boundary PSA
At its core, this indicator provides a unique lens to visualize market momentum and boundaries:
1. Momentum Strength: The histogram height/depth shows the strength of current momentum, with color intensity providing additional context about acceleration or deceleration.
2. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of momentum in both directions, helping to identify when markets are making new momentum extremes.
3. Exhaustion Signals: The peak detection system highlights moments where momentum has reached a local maximum or minimum, often precursors to reversals or consolidations.
4. Trend Confirmation: The histogram color and intensity provide instant feedback about the current trend direction and strength, with special colors highlighting particularly significant moves.
Remember:
- Combine signals from histogram, marker lines, and peak formations
- Use appropriate timeframe settings for your trading style
- Customize the indicator to match your visual preferences
- Consider market conditions and correlate with price action
This indicator works best when:
- Used as part of a comprehensive trading system
- Combined with proper risk management
- Applied with an understanding of current market conditions
- Signals are confirmed by price action and other indicators
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
Min-Max | Buy-Sell Alert with LevelsMin-Max | Buy-Sell Alert with Levels
Description:
The Min-Max | Buy-Sell Alert with Levels indicator is a powerful tool designed to help traders identify key levels of support and resistance based on the previous day's high and low prices. It plots horizontal lines for the previous day's minimum (Min) and maximum (Max) prices, along with four intermediate levels (Stop Loss 1 to Stop Loss 4) calculated as equal percentage steps between the Min and Max.
This indicator is perfect for traders who want to:
Identify potential entry points when the price returns within the Min-Max range.
Set stop-loss levels based on the calculated intermediate levels.
Receive alerts for buy, sell, and stop-loss conditions.
Key Features:
Previous Day's Min and Max Lines:
Automatically plots the Min (red line) and Max (green line) of the previous day.
These levels act as dynamic support and resistance zones.
Intermediate Stop Loss Levels:
Calculates and plots four intermediate levels (Stop Loss 1 to Stop Loss 4) between the Min and Max.
Each level is equally spaced, representing potential stop-loss or take-profit zones.
Customizable Alerts:
Buy Alert: Triggered when the price returns within the Min-Max range after breaking below the Min.
Sell Alert: Triggered when the price returns within the Min-Max range after breaking above the Max.
Stop Loss Alerts: Triggered when the price reaches any of the four intermediate levels (Stop Loss 1 to Stop Loss 4).
Customizable Appearance:
Adjust the thickness, color, and style (solid, dashed, dotted) of the lines.
Customize the colors of the Stop Loss labels for better visualization.
Labels on the Chart:
Displays "Buy" and "Sell" labels on the chart when the respective conditions are met.
Labels for Stop Loss levels are also displayed for easy reference.
How to Use:
Add the indicator to your chart.
Customize the settings (line colors, thickness, and alert preferences) in the indicator's settings panel.
Use the Min and Max lines as dynamic support and resistance levels.
Monitor the intermediate levels (Stop Loss 1 to Stop Loss 4) for potential stop-loss or take-profit zones.
Set up alerts for Buy, Sell, and Stop Loss conditions to stay informed about key price movements.
Why Use This Indicator?
Simple and Effective: Focuses on the most important levels from the previous day.
Customizable: Tailor the indicator to match your trading style and preferences.
Alerts: Never miss a trading opportunity with customizable alerts for key conditions.
Settings:
Line Thickness: Adjust the thickness of the Min, Max, and intermediate lines.
Line Colors: Customize the colors of the Min, Max, and intermediate lines.
Line Style: Choose between solid, dashed, or dotted lines.
Stop Loss Label Colors: Customize the colors of the Stop Loss labels.
Alerts: Enable or disable alerts for Buy, Sell, and Stop Loss conditions.
Ideal For:
Day traders and swing traders.
Traders who rely on support and resistance levels.
Anyone looking for a clear and customizable tool to identify key price levels.
Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always conduct your own analysis and trade responsibly.
Get Started Today!
Add the Min-Max | Buy-Sell Alert with Levels indicator to your chart and take your trading to the next level. Customize it to fit your strategy and never miss a key trading opportunity again!
