Dap's Oscillator- Short Term Momentum and Trend. BINANCE:BTCUSDT BYBIT:BTCUSDT BYBIT:ETHUSDT BINANCE:ETHUSDT
DAP's OSCILLATOR:
WHAT IS IT?
This Oscillator was created to inspire confidence in the short-term trend of traders. This will work very well with a volatility metric (I recommend BBWP by @The_Caretaker)
WHAT IS IT MADE OF?
1. Consists of a series of equations (mainly the difference between simple to exponential moving averages) and Standard deviations of these moving average differences (length equivalent to the length of sampled ma's)
2. These equations are then boiled down through an averaging process array, after averaging the covariants are equated against the variants of the positive side of the array. This is what is presented as the aqua line.
3. The RC average (yellow) is the sma following the DAP'S Oscillator at a specified length
4. The most important part of this indicator is simply the momentum oscillator represented as a green or red line based on the value relative to the Oscillators.
HOW DO I USE THIS?
As I mentioned before mixed with a volatility metric, it should set you up for a good decision based on short-term trends. I would say to be careful for periods of consolidation, with the consolidation the momentum often meets hands with DAP's Oscillator and can cause fake-outs. You want to spot divergences from the price to the momentum difference, as well as room to work down or upward to secure a good entry on a position.
CHEAT CODE'S NOTES:
I appreciate everyone who has boosted my previous scripts, it means a lot. If you want to translate words to pine script onto a chart, feel free to PM me. I would be happy to help bring an indicator to life. I may take a quick break but will be back shortly to help create more cheat codes for yall. Thanks!
-Cheat Code
Ethereum (Criptovaluta)
[KRONOS] DeviationsDescription
This indicator calculates the differences between the current price and the local support or resistance, and normalizes it into a range.
The value basis is calculated from a defined period of time that is then multiplied to get a standard deviations and a max. and min. value subtracted and divided into a final value.
It includes
Extreme zones. This value appears as blue and red lines which deviates from the oversold to overbought range.
Momentum. Lower time frame momentum is represented by a gray histogram as well as a signal line oscillating from a red to blue color.
Strong reversal. Red ( bearish ) and blue ( bullish ) columns will appear on the histogram when our algorithm detects that the strength of momentum is coming to an end indicative of a trend reversal.
Trend confirmation. Red or blue arrows will act as a trend confirmation.
Support and resistance . The zero line will frequently serve as a S/R area.
Divergences. You can use this indicator to detect potential pivot areas.
How to use?
Sell/Short when the histogram shows a red column and the signal line is in or above the overbought area (colored in red).
Buy/Long when the histogram shows a blue column and the signal line is in or below the oversold area (colored in blue).
extra tip: if you entered a trade based on the above conditions, you can partially increase your position each time you see a confirmation arrow.
[KRONOS] FlowDescription
The main indicator component is a white signal line calculated from the price and strength of the current market pair filtered using the Fourier transformation formula (by Joseph Fourier).
It includes
Trend confirmation. The grayish line is the signal line moving average which can either be used as a support/resistance line or as a strong trend confirmation in the case of a crossover/crossunder.
Oversold and overbought areas. These areas are marked with multiple hues of red and blue color for them to be more easily noticeable.
Extreme areas. Arrows around extreme areas are showing points where a reversal is very likely to occur.
How to use?
Buy/Long on a blue arrow (or after a crossover if you want more confirmations)
Sell/Short on a red arrow (or after a crossunder if you want more confirmations)
extra tip: use the zero line and overbought/oversold areas as a take profit area and place your stop loss at the previous swing low.
[KRONOS] MomentumDescription
This indicator is based on an algorithm which provides accurate momentum tracking on every timeframe. It is visualized as a colored histogram and through some other tools.
The value is calculated from an exponentially weighted moving average that is used to get a high and a low deviation, merging the last value into a range.
It includes
Overbought and oversold fixed areas. Their purpose is to facilitate the recognition of areas where the trend is likely to end or cool down. They are also marked with a background coloring.
Zero line. It typically represents a change of trend when the price crosses under or over it.
Volume shifts. Colored arrows will appear whenever a volume change is detected.
How to use?
Buy/Long on a blue confirmation arrow
Sell/Short on a red confirmation arrow
Take profit when the indicator starts showing a blue background
Take profit when the indicator starts showing a red background
extra tip: the zero line often acts as support / resistance similarly to the overbought and oversold areas
[KRONOS] Gamma StrengthDescription
This indicator's main component is the signal line which represents a very responsive market strength value calculated from real time data and normalized into a range (0 - 0.5 - 1). Indicator is using Stochastic and RSI functions to get raw value filtered through a linear regression, helping users predict imminent market directions. Lastly, this value oscillation is converted into a range to notice overbought and oversold zones at a quick glance.
It includes
Divergence. Indicator plots R for regular divergence and H for hidden with minimal possible delay which can be used to notice irregularity in the market.
Extreme overbought and oversold areas. Colored background extreme areas are showing points where a reversal is approaching.
How to use?
Buy/Long when the indicator line goes out of the blue/oversold area.
Sell/Short when the indicator line goes out of the red/overbought area.
extra tip: you can use the zero line and overbought/oversold zones as either a take profit or an entry area.
Ethereum OnChain Data Indicator - The Quant ScienceEthereum On Chain Data Indicator - The Quant Science™ is a quantitative indicator created for mid-long term analysis.
The indicator uses quantitative statistics to recreate a model that represents the most important data from the on-chain analysis for the Ethereum blockchain.
The on-chain data used to create this model are:
1. Total weekly transactions
2. Total monthly transactions
3. Frequency of transactions per second on a daily scale
4. Frequency of transactions per second on a weekly scale
5. Amount of Ethereum burned on a daily scale
6. Amount of Ethereum burned on a weekly scale
7. Volume of short positions on a daily scale
8. Volume of short positions on a weekly scale
9. Volume of short positions more/less than average on a daily scale
10. Volume of short positions more/less than average on a weekly scale
All these data were extrapolated and manipulated using the mean and standard deviation.
The end result is a powerful tool that enables mid-long term investors and traders to analyze on-chain data through quantitative analysis.
FEATURES
The blue color area refers to the average change in data on a weekly scale. The light blue colored area indicates the monthly changes in the data. It is interesting to observe the correlation relationship between price and times when short-run data increases compared to long-run data and vice versa.
The more intense purple histograms refer to the standard deviation of the mean change in data on an annual scale. Histograms of less intense purple color refer to the standard deviation of the mean variation of data on a monthly scale. It is interesting to observe the ratio of the standard deviation between two different time periods.
This indicator can be used to perform statistical comparative analysis for manual and mid-long term investments. It can also be used to create auto trading strategies when used and integrated within an algorithm.
On-chain data are updated every 24 hours, so the timeframes to be used for analysis with this indicator are: D, 4H, 1H.
Smart Money - Oscillator and Volume StrategyOverview
This is a no-repaint strategy that is highly optimized for BINANCE:ETHUSDTPERP 30m, normal candles. It is a long/short strategy that is based on CMF, ADX/DMI, Keltner Channels, and other oscillators to identify smart money.
The overall idea of the strategy is to effectively capture the beginnings and ends of trends in price action, and go long/short accordingly. To achieve this, potential entry points are identified with various oscillators and these are then filtered using a variety of moving averages and strength/momentum indicators.
Short and sell inflections are found when ADX, DMI, and/or CMF oscillate below a specified threshold, and Keltner Channels are also used to indicate potential trades.
The indicator will continue to be updated and optimized for current and future market conditions.
If purchased, access to the indicator will be available within 24 hours.
Backtest Results
Parameters:
- 2021-01-01 to present (19 months)
- 100% equity order size
- 0.04% commission fees
- No leverage
17,089% net profit through 296 trades with 60.47% of trades being profitable.
Profit factor of 2.862, Sharpe Ratio of 1.158
Parameters:
- 2021-01-01 to present (19 months)
- $1,000 initial capital
- $1,000 order size
- 0.04% commission fees
- No leverage
584% net profit through 296 trades with 60.47% of trades being profitable.
Parameters:
- 2021-01-01 to present (19 months)
- 500% equity order size
- 0.04% commission fees
- 5x leverage
8,587,557% net profit through 299 trades with 59.87% of trades being profitable.
Aggregated Ethereum Volume (spot & derivatives)AGGREGATED ETHEREUM VOLUME INDICATOR (spot & derivatives)
This indicator aggregates volume for the most liquid ethereum pairs AND instruments, from exchanges known to *not* have fake volume . A few legit exchanges are missing as not available in Tradingview at the moment (e.g. FTX US).
Volume is separated into four categories: spot (stablecoin pairs), spot (fiat pairs), derivatives (perpetuals), and tradfi derivatives ( CME futures ). Can plot them all four together (default setting) or individually.
Volume is "aggregated in equivalent number of eth" (default setting) -- although users can change that to "aggregated in total USD". Doing so required converting volume for some ETH pairs and (derivatives) contracts that don't record volume in number of eth (but rather record it in USD or number of contracts).
Volume from crypto futures contracts (i.e. not Tradfi) is missing given how these contracts expire, and rolling them over would require extensive manual input. Futures' volume track perpetuals' volume , and are considerably smaller than perpetuals', therefore its absence does not have a noticeable impact on output. Time series for CME futures don't suffer from this inconvenient as the CME offers a continuous time series.
For the sake of simplicity, the price time series used for normalizing volume into ETH units is Bitstamp's (as it is the longest time series available). Prices of USDT and USDC is ignored in this first version.
List of exchanges included: Binance, Binance US, OKX, Huobi, FTX, Bittrex, Gate, Kucoin, Poloniex, Coinbase, Bitfinex, Bitstamp , Gemini, Bitflyer, Upbit, Kraken, Bybit, Bitmex, Deribit, CME
List of pairs/instruments that had to be converted from total USD into number of eth: FTX:BTCUSDT, FTX:BTCUSD, BITMEX:XBTUSD, BYBIT:BTCUSD, DERIBIT:BTCPERP, FTX:BTCPERP
List of pairs/instruments that had to be converted from number of contracts into number of eth: BINANCE:BTCPERP, OKEX:BTCPERP, OKEX:BTCUSDTPERP, CME:BTC
Final note: I recommend to look at aggregated ethereum volume in ETH (not in USD) and for all categories (spot and derivatives) to get a better picture of what's happening in the market. Looking at volume in USD rather than in ETH makes volume obviously dependent on ethereum's price. This is a major problem for volume analysis. Given how volatile ETHUSD is, price then accounts for most of the variance in volume , making volume comparisons across time difficult.
If you have any suggestions please drop them in the comments.
Bot MasterSqueeze 1.1 (crypt)Countertrend strategy for correction to the average value. The strategy is designed primarily for crypto.
The principle of operation is that with a rapid price change, the strategy tends to take a reverse position to return to the average value, which statistically often happens. It is enough for you to determine the percentage of the offset about the average price and the size of the averaging position as a percentage of the deposit.
With the settings, you determine how to determine the average opening price. It can be MA at the price of opening, closing, etc., and DCMA. Soon I will add a few more options for determining the average opening price
You can also choose the average price at which the transaction will try to close.
Now there are 3 methods:
- closing when returning to the average price
- closing on the first correction candle
- opening on an abnormally large candle in the direction of correction and closing on the first one is opposite
Search for the settings by the selection method for each pair separately. It is better to trade using signals via a bot.
The strategy shows itself best on volatile coins paired with the dollar for 1 hour or more.
Soon I will add new options for opening and closing deals, as well as determining the average price.
ATTENTION: the strategy involves averaging, so be careful with levers and overestimating the percentage of the transaction from the deposit. It is best to allocate no more than 25 percent to the risk of the transaction.
Crypto_Troll_Turtle_StrategyTurtle Strategy for high marketcap cryptocurrencies
I'm glad to launch my strategy which is based on
moving averages / bollinger bands / RSI and volume
It's basically made for scalping with an interesting return over the last two years and a perspectively low drawdown
if you're interested in the strategy and you want to use it for futures trading you can contact me for a money & risk management rules that you can use and prevent you from a huge loss !! it's for free don't worry xD you can find my contact in the author's instructions' label
The optimal timeframe to use is 1H
I'll be trying to launch telegram signals for this strategy as soon as possible for the following pairs: BTCUSDT ETHUSDT BNBUSDT timeframe: 1H
I'm open to all reviews ! thanks !
ETH APO Strategy [60MIN]In general this strategy is wining but I won't recommend a trader to start using it directly.
You can you use it as a template to build your own strategy on, with a bit improvement you can get much better results.
The APO indicator is the core of this strategy and it only work on Long trades, you may focus on fining a way to filter the wrong long entries to make it a safe strategy with low drawdown.
BEST PERFORMANCE: KUCOIN:ETHUSDT 60MIN chart
ETH MA ChannelThe 200-week moving average for bitcoin is considered to be the most popular bitcoin support and determines the bitcoin price bottom. But examining this index in the case of bitcoin does not have the same result for Ethereum. The above moving average channel is designed according to the price action of ETH to determine its top and bottom based on the 200w moving average. This channel has a good performance on the historical chart.
Exponential Top and Bottom FinderThis is an indicator to identify possible tops and bottoms after exponential price surges and drops, it works best on ETH 1D, but you can also use it for bitcoin and altcoins.
It's based on stochastic first and second derivatives of a close moving average
Sideways Strategy DMI + Bollinger Bands (by Coinrule)Markets don’t always trade in a clear direction. At a closer look, most of the time, they move sideways. Relying on trend-following strategies all the time can thus lead to repeated false signals in such conditions.
However, before you can safely trade sideways, you have to identify the most suitable market conditions.
The main features of such strategies are:
Short-term trades, with quick entries and quick exits
Slightly contrarian and mean-reversionary
Require some indicator that tells you it’s a sideways market
This Sideways DMI + Bollinger Bands strategy incorporates such features to bring you a profitable alternative when the regular trend-following systems stop working.
ENTRY
1. The trading system requires confirmation for a sideways market from the Directional Movement Index (DMI) before you can start opening any trades. For this purpose, the strategy uses the absolute difference between positive and negative DMI, which must be lower than 20.
2. To pick the right moment to buy, the strategy looks at the Bollinger Bands (BB). It enters the trade when the price crosses over the lower BB.
EXIT
The strategy then exits when the move has been exhausted. Generally, in sideways markets, the price should revert lower. The position is closed when the price crosses back down below the upper BB.
The best time frame for this strategy based on our backtest is the 1-hr. Shorter timeframes can also work well on certain coins that are more volatile and trade sideways more often. However, as expected, these exhibit larger volatility in their returns. In general, this approach suits medium timeframes. 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.
Three EMAs Trend-following Strategy (by Coinrule)Trend-following strategies are great because they give you the peace of mind that you're trading in line with the market.
However, by definition, you're always following. That means you're always a bit later than your want to be. The main challenges such strategies face are:
Confirming that there is a trend
Following the trend, hopefully, early enough to catch the majority of the move
Hopping off the trade when it seems to have run its course
This EMA Trend-following strategy attempts to address such challenges while allowing for a dynamic stop loss.
ENTRY
The trading system requires three crossovers on the same candle to confirm that a new trend is beginning:
Price crossing over EMA 7
Price crossing over EMA 14
Price crossing over EMA 21
The first benefit of using all three crossovers is to reduce false signals. The second benefit is that you know that a strong trend is likely to develop relatively soon, with the help of the fast setup of the three EMAs.
EXIT
The strategy comes with a fixed take profit and a volatility stop, which acts as a trailing stop to adapt to the trend's strength. That helps you get out of the way as soon as market conditions change. Depending on your long-term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive.
The position is closed when:
The price increases by 4%
The price crosses below the volatility stop.
The best time frame for this strategy based on our backtest is the 4-hr. Shorter timeframes can also work well, although they exhibit larger volatility in their returns. In general, this approach suits medium timeframes. 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.
Optimised RSI strategy for Reversals (by Coinrule)The most common way to use the RSI to spot a good buy opportunity is to check for values lower than 30. Unfortunately, the RSI can remain in oversold territory for long periods, and that could leave you trapped in a trade in loss. It would be appropriate to wait for a confirmation of the trend reversal.
In the example above I use a short-term Moving Average (in this case, the MA9) coupled with an RSI lower than 40. This combination of events is relatively rare as reversal confirmations usually come when RSI values are already higher. As unusual as this setup is, it provides buy-opportunities with much higher chances of success.
The parameters of this strategy would be:
ENTRY: RSI lower than 40 and MA9 lower than the price
TAKE PROFIT and STOP-LOSS with a ratio of at least 2. That means that if you set up a take profit of 3%, your stop-loss shouldn’t be larger than 1.5%.
The advantage of this approach is that it has a high rate of success and allows you the flexibility of setting up the percentages of the take profit and stop-loss according to your preferences and risk appetite.
Bitcoin trend RVI and Emastrategy with two emas and rvi.
Only long positions when fast ema above slow ema when rvi gives entry.
Only short positions when slow ema above fast ema when rvi gives entry.
VMC Oracle This is Oracle. It is a momentum driven indicator with behind-the-scenes filters designed to best indicate the oversold and overbought points on most assets. Oracle partially uses a regression equation displayed in line format with a predetermined spacing to indicate different support and resistance points within the last 100 bars. When used in combination with the smoothed oscillator and moving averages it becomes a powerful tool in your box. It is important to keep in mind that because this indicator is always looking at the last 100 bars the user will need to use the “replay” function on Tradingview for the best manual back-testing to the triggers as possible. It should become clear that when its in the red zone above the ‘zero’ line that the potential for downward movement is greater. The bottom or below ‘zero’ green zone indicates a potential time to buy.
In addition to the regression lines, the indicator is supplied with a basic moving average application involving cross analysis. The two lines in cooperation help the user determine when the overall trend is shifting. As an example, when the overall trend may be indicating a bearish market or downtrend it may be beneficial to consider any of Oracle’s triggers that may be opposite more closely. Some of the alerts will trigger in what appears to be opposite trending areas such as a buy trigger when the averages indicate a bearish period. When this happens, it is up to the user utilize other confirmation type tools to assist in the decision of the oracle triggers. The reason for this is that Oracle is designed to predict the change in the market before or during a peak or through area on the graph. The success can be large but this can reduce the automatic trigger’s success in which loss management must be executed.
The custom alert function built in is designed to automate the visual comparisons of the two items above. By considering trend, immediate resistance and support lines, and momentum we can help visually indicate the points of possible exhaustion in either direction.
When setting up the alert it's as simple as a new alert creation and selecting the VMC Oracle Indicator in the top drop down. After that its as simple as selecting Long Alert or Short alert. As with any tool it is recommended to understand the asset being traded and providing yourself with the best risk management rules to minimize unfavorable movements.
The Brain Trust Presets Strategies [BTC / ETH] [PrismBot] [Lite]This strategy contains 9 different timeframe strategies (2 strategy types with pre-adjusted filter options for the different timeframes) tailored to BTC ( Bitcoin ) and ETH ( Ethereum ) on Binance. While I've listed these prebuilt strategies for specific timeframes, they are versatile enough to be checked and tested on other timeframes, and exchanges as well. I have been careful to avoid any curvefitting or overfitting. Included is useful default order settings, but we wanted to ensure you, the user, has control over the order settings for your own equity and trading.
These strategies are created, tailored, tested, and actively used by me.
It is up to you to do your own due diligence when testing these strategies on your exchange, and for your use, and PrismBot bears no responsibility for losses from the use of these strategies.
These strategies employ a variety of methods. Notable inclusions are other live strategies of mine including but not limited to:
ADX + MACD
RSI
Consolidations
Bull Bear Power
Volume Calculations
Open Interest Data
All of these setups include trend trading methods intended to maximize profitability in strong trending markets, and filters deployed to prevent failures in consolidation, though nothing is failproof.
You can control your leverage, quantity calculations, and other order settings. However, all other strategy input parameters are controlled by the strategy selectors.
Some strategies use 1.5 to 1 Risk to Reward ratio while others use 1:1.
How we execute trades for each strategy:
For 10m and 45m
we use a variety of settings for a Normalized MACD and ADX indicator. The thesis is we detect Normalized MACD crossovers at specific values and only allow trading of the strategy when the ADX is above a specific value.
For 15m, 1H, and 45m
we utilize the RSI crossovers of overbought and oversold and use the RSI moving average to filter trades. The thesis is we detect overbought for long and oversold for short.
For each strategy we use additional filters such as Bull Bear Power, Volume Flow, and Open Interest calculations to simply validate a trade.
Automatic Mode
In automatic mode, we detect your timeframe and current coin chart to decide one of the strategies from our database. If you want to manually select a different strategy or try the strategies on different cryptocurrencies, you can disable automatic mode entirely.
SOPR Candles OscillatorThe Spent Output Profit Ratio (SOPR) is computed by dividing the realized value (in USD) divided by the value at creation (USD) of a spent output. Or simply: price sold / price paid. This metric was created by Renato Shirakashi.
The indicator provides insight into macro market sentiment, profitability and losses taken over a particular time-frame. It reflects the degree of realized profit for all coins moved on-chain.
SOPR is measured by taking the ratio between the fiat value at the time of UTXO creation, and the fiat value when the UTXO is spent.
In this indicator, I have essentially created an index that measures SOPR value on any given day. This is visually displayed as an oscillator.
SOPR values greater than 0 implies that the coins moved that day are, on average, selling at a profit (price sold is greater than the price paid).
SOPR value less than 0 implies that the coins moved that day are, on average, selling at a loss (price sold is less than the price paid).
You have the ability to see the SOPR of BTC , ETH and LTC. You can also smooth the SOPR using an EMA or SMA of your choice. I have added colored bars to the chart to make it easier to visualize SOPR and it's relation to price action.
Thank you to both TradingView and Glassnode for adding all the on-chain data.
2π Indicator including Prediction-FeaturePI Cycle indicator is very good on finding potential tops.
PI cycle uses the 350MA/111MA which equals around 3,14
Using the 700MA its very obvious that we can spot potential Bottoms.
We are also using the 111MA, so 700MA/111MA equals to 6,30 which is ~ 2π.
I also built in a Prediction feature so we could speculate on a potential Bottom in the future.
Obviously the prediction might change over time if price is more volatily it changes the outcome.
Use Daily chart for best results.
ETH Gravity OscillatorThis indicator is a deviation of a Center of Gravity Oscillator corrected for the diminishing returns of Ethereum.
I've set up this indicator for it to be used on the weekly timeframe . The indicator oscillates between 0 and 10, where 0 indicates oversold conditions and 10 indicates overbought conditions. What is interesting is that it is not particularly ideal for identifying market cycle tops, but generally picks out the most euphoric region in the initial parabolic rally. Good to potentially keep in mind if there is a second bounce to the peak!
The indicator plots in any ETH charts. It paints in all time frames, but Weekly time frame is the correct one to interpret the 'official' read of it.
Made at the request of a kind commenter. If you would like to request different derivations of this script be sure to let me know!
[Joy] AladdinDirectly used for entertainment purposes in figuring out the market trend:
Sell/bearish sign: I open a short position on the candle's close. I am bearish on the instrument.
Buy/bullish sign: I open a long position on the candle's close. I am bullish on the instrument.
Red circle: If I run a long position, I take at least 50% unrealized profit into a realized profit on the close candle. I might even convert some portion of the underlying spot into stable coins. I am essentially taking profit along the way as the trend is developing.
Green circle: If I am running a bearish short position, I take at least 50% unrealized profit into a realized profit on the candle's close. I am essentially taking profit along the way as the trend is developing.
Below are used for indications only:
Down Arrows: It is not directly used in opening/closing positions. When the down arrow finishes and the candle close, it sometimes indicates a local top. It does not mean the macro trend has changed.
Up Arrows: It is not directly used in opening/closing positions. When the up arrow finishes and the candle close, it sometimes indicates a local bottom. It does not mean the macro trend has changed.
Red Crosses: It indicates a squeeze may be incoming. When the red crosses finish, the price may move significantly in any one direction. It does not say which direction. It only gives me caution.
Experimental - Below Work in Progress may be from the config only:
>> Jasmine - Tweak of Aladdin
>> Candle color - Logic is different from Aladdin
>> Background color - Logic is different from Aladdin
FAQs
Q: Does it use some EMA /MA/Ichimoku/Parabolic SAR, etc? Does it use any indicator with tweaked settings?
Answer: No.
Q: What does it mostly use?
Answer: Volume and gradual flow of non-interrupted data. The logic depends on the correlation between volume , price bars and the wicks.
Q: Can you make it free or make it open source?
Answer: There is no free lunch in this world. I will never reveal or share the source code or make it free for all!
Q: Do you provide ongoing support for the indicator?
Answer: Yes, I will continue updating the indicator as long as I can. However it depends entirely on me. I may stop updating as well.
Q: Are the bullish /buy & the bearish /sell markers automatic?
Answer: Yes. I do not control it!
Q: Is this financial advice?
Answer: Any views expressed by the indicator are personal entertainment views & shouldn't form a basis for making investment decisions, nor be construed as a recommendation or advice to engage in investment transactions. It is not financial advice. I highly recommend not even think of using this for actual real-life trading with real money. Neither I nor the indicator is responsible for any misuses, including any profit/loss. There is no warranty on this entertainment product
