Crypto Spot Market Bot | BacktestHello Friends.
This script is only for long positions.
How does the algorithm work ?
The Relative Momentum Index
Relative Strength İndex
Average Directional Movement İndex
Momentum
When rsi and adx produce signals in the same direction, the rmi indicator confirms the signal. After the Confirmed Signal, the buy-side transaction is entered , the closed according to the % of profit taking and stoploss specified on the algorithm in the entered transaction.
In the spot market, it is possible to make money even in a down trend
All shared charts run within a 1-hour time frame.
Note : The shared backtest results have been shared as of 9/9/2021 by calculating 50% balance and 2 pyramiding methods in an account of 1000 dollars. Keep in mind that this algorithm will want to try to average down in possible worst-case scenarios. 2% - %3take profit levels will provide consecutive gains in the spot market.
How should the adjustments be made?
Value variables should be made according to formula a and formula b values and backtest results. You can increase the frequency of transactions by lowering the adx and rsi values.
Overview :
Search in scripts for "momentum"
Combo 2/20 EMA & Absolute Price Oscillator (APO) This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The Absolute Price Oscillator displays the difference between two exponential
moving averages of a security's price and is expressed as an absolute value.
How this indicator works
APO crossing above zero is considered bullish, while crossing below zero is bearish.
A positive indicator value indicates an upward movement, while negative readings
signal a downward trend.
Divergences form when a new high or low in price is not confirmed by the Absolute Price
Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO
forms a higher low. This indicates less downward momentum that could foreshadow a bullish
reversal. A bearish divergence forms when price makes a higher high, but the APO forms a
lower high. This shows less upward momentum that could foreshadow a bearish reversal.
WARNING:
- For purpose educate only
- This script to change bars colors.
SPXL Futures Strategy- Buy/sell signals for SPXL using futures momentum.
- For real-time signals at close, use ES1! on 2 minute chart and sign up for real-time cboe mini futures data feed in tradingview.
- All buys and sells are at near close of US RTH market at 4pm.
- Best to use the script with other breadth signals to decide on trading strategy.
- Script is compatible with SPY, SPXL, RSP, QQQ, TQQQ and many other SPX correlated tickers, however it’s primarily developed for SPX.
Eternal BTC Strategy - 2This is a summary of how this strategy works.
- Momentum, Volatility detection:
1. First of all detects market momentum
2. Uses volume indicators to make sure of the movement existence
- Trade execution:
3. Uses crossovers of some MAs
4. After crossovers, waits for trend analysis indicators signals to trigger the order
- Take profit & Stop loss:
5. Calculates SL and TP using a formula (combined of volume , MAs and others)
* This is just a simple representation of how this strategy works, It's coded in about a 2000 lines script.
This strategy works best on Bitcoin / TetherUS • BINANCE
No setting is needed to be applied by you, you'll just simply add the script and receive alarms.
Alarms are included opening of the trade, TP and SL touch.
BTC Strategy - EternalThis is a summary of how this strategy works.
- Momentum, Volatility detection:
1. First of all detects market momentum
2. Uses volume indicators to make sure of the movement existence
- Trade execution:
3. Uses crossovers of some MAs
4. After crossovers, waits for trend analysis indicators signals to trigger the order
- Take profit & Stop loss:
5. Calculates SL and TP using a formula (combined of volume , MAs and others)
* This is just a simple representation of how this strategy works, It's coded in about a 2000 lines script.
As you can see, it has a great performance, 71.59% win rate in 989 trades so it's a very confident result.
This strategy works best on Bitcoin / TetherUS • BINANCE
No setting is needed to be applied by you, you'll just simply add the script and receive alarms.
Alarms are included opening of the trade, TP and SL touch.
Bollinger band & Volume based strategy V2this script is upgraded version of previous one the major change is deleted script which find a highest price after entry the last of strategy is same.
If current volume is above daily average volume, and three bollinger band`s Standard Deviation, 1 and 1.5 and 2 if the current lowest price is bigger then 1 stdev and current closed is bigger then 1.5 stdev and the last,highest price is above 2.0 stdev, it defined current market is bullish and had momentum.
and the Short will entered when ma60 and ma120 is undercrossed it work as prevent current price is way lower then entry price.
**this script is working in 15min Only in BTC market or USDT**
** basic equity setting is 500$, set your own**
**if you will use this in real-trade,plz comment the result to me**
Ps: i wanna know why my script is only working well in 15 min tick, anyone who has similar phenomenon or if you had a answer about it, please comment me.
OnePunch Algo KITEIntroducing One of OnePunch ALGO Flagship plugin. In this plugin it comes with a in-built risk management system plus it allows users stop loss input per trade. This can be used with Cryptocurrency and Stocks equally.
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########## User Guide ###########
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OnePunch ALGO KITE should be used with 30min or upper time limits, this is built for long term trading strategies. Make sure once you pick a crypto or stock to trade, check its backtest data: which can be found at Strategy Tester. A good strategy should always out perform the Buy & Hold for a given timeframe.
Best Bar Time: 45m
Other Options
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Short Term/Day Trading Setup
For Short Term or Day Trade: 5min, 15min & 30min candlesticks
Mid Term Trading Setup
For Mid-term traders: 45m, 1hr, 2hr, and 3hr setup works really well.
For Long Term Trading Setup
For long term traders: 4hr, 1D, 1Week and 1Month Setup works well.
* Best timeframe should beat buy and hold for a given timeline.
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####### How Strategy Work ########
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Strategy use multiple signals and technical data. Including and not limited to Simple Moving Averages, Volume , & Trends. In this chart, we picked Polkadot (DOTUSD) crypto coin as an example with an initial capital of $1k. We have also added a slippage of 1 just to be on the safe side and a commission rate of 0.01% (Commission rates depends of your broker).
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######## Built with Inputs #########
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Date Pick: User can backtest the plugin with exact date you want from to till. For an example, you can check date from 01 / 01 /2020 (Default setting date) till day, and compare apple to apple results with other stocks. This is mostly used to check if another stock/crypto do better than the other compared to a given timeframe.
Risk Management per Trade: This also allows users to put their own risk management loss percentage. In default it is set to 100%. This allows user to see in the long run, if this provide better results with or without a stop loss.
Commission Rates: User can update commission rates according to their broker's fees
Slippage: To be more conservative about the entry and exit of a trade, user can input any slippage amount
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#### How to Detect BUY Signals #####
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When a teal color BUY signal is given, it is a BUY. This signal basically happen when a stock land in a high volatility zone. We use in-build systems such as MA , Support and Resistance and Trends to come up with the Buy Signal. Algorithm make a market order when the criteria's are met and algorithm exit if this turns out to be a bluff bullish signal.
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#### How to Detect SELL Signals #####
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When a maroon color SELL signal is given, it is a SELL happen when a momentum changed in a bearish downtrend. Sell happen when a momentum changed in a bearish downtrend. We use moving averages and trend analysis to identify downtrends. Algorithm make a market order when the criteria's are met. There is a in-built risk management that make an exit order when a bullish alert turns out to be a bluff.
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#### Bullish and Bearish Signals #####
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When a silver color Bearish signal is given, it is a BEARISH trend alert. It's up to the user to decide what to do when this alert is given. (Note: Backtest data only shows Buy and Sell Signal market orders results, it does not account bearish alerts), a Bearish signal given when the stock/crypto is overbought in multiple technical indicators.
When a sea blue Bullish trend signaled. (Mind this sea blue color signal will not be calculated in the backtest, it is up to the users to decide what to do with this bullish signal) - This signal happen when a stock is oversold in multiple technical indicators.
DISCLAIMER: Stocks and options trading involves substantial RISK of LOSS and is NOT suitable for every investor. The valuation of stocks and options may fluctuate, and, as a result, clients may lose more than their original investment. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account. You are responsible for all the risks and financial resources you use and for the chosen trading system. You should not engage in trading unless you fully understand the nature of the transactions you are entering into and the extent of your exposure to loss. If you do not fully understand these risks, you must seek independent advice from your financial advisor.
All trading strategies are used at your own risk. And OnePunch ALGO Developer does NOT take any responsibility for your losses using any of the advice or suggestions or strategies are shown/said in any of OnePunch ALGO publications.
Hophop Reversion Strategy
█ OVERVIEW
Mean reversion is a financial term assuming that an asset's price will tend to converge to the average price over time.
Due to the trending nature of the crypto markets, mean reversion on a high timeframe could be pretty dangerous. When it comes to running mean reversion strategy on low timeframe, commission and slippage may cost more than strategy gains.
In this strategy, I tried to achieve being conservative in the trending market while avoiding trades if necessary and trading high probability reversion opportunities .
█ CONCEPTS
Strategy is build based on the combination of the momentum and the historical / implied volatility; when the price exceeds the potential volatility range, the strategy places the orders, and the target point is the mean of the expected range high and range low.
The range low and high lines displayed on the chart shows where to short or long, to make sure that the orders are limit orders; orders are placed 0.5% above/below the ranges!
Key information about the strategy
• All the orders are limit entry
• 0.02% commission is included in the backtest
• 30 ticks set for Verify Price Limit for Orders
• 30 ticks set for Slippage
• Initial version does not include the money management and hard stops hence you need to be extra cautious in trending markets
• Restricted to be used for BTC and ETH for 15 min timeframe
█ Ozet
Ortalamaya dönme, bir varlığın fiyatının zaman içinde ortalama fiyata yakınsama eğiliminde olacağını varsayan bir finansal terimdir.
Kripto piyasalarının trend egilimli doğası nedeniyle, yüksek zaman diliminde ortalamaya dönüş oldukça tehlikeli olabilir.
Ortalama geri dönüş stratejisini düşük zaman diliminde calistirmak söz konusu olduğunda, komisyon ve kayma, strateji kazanımlarından daha pahalıya mal olabilir.
Bu stratejide, gerektiğinde alım satımlardan kaçınırken ve yüksek olasılıklı ortalamaya dönüş fırsatlarını degerlendiren, trend olan piyasada ise isleme girerken temkinli olmasi uzerine calistim
█ Aciklama
Strateji, momentum ve tarihsel / zımni oynaklığın birleşimine dayalı olarak inşa edilmistir; fiyat potansiyel oynaklık aralığını aştığında, strateji emirleri verir ve hedef nokta, beklenen yüksek aralığın ve düşük aralığın ortalamasıdır.
Grafikte görüntülenen aralık alt ve üst satırları,
Stratejiye ait onemli bilgiler/b]
• Tüm emirler limit emirdir girişlidir
• Backtest performansinda %0.02 komisyon dahildir
• Limit Emir fiyat dogrulamasi icin 30 tick bekleme kullanilmistir
• Slippage için 30 tick bekleme kullanilmistir
• İlk sürüm para yönetimini ve stoploss içermez, bu nedenle trend olan piyasalarda ekstra dikkatli olmanız gerekir.
• 15 dakikalık zaman dilimi ile BTC ve ETH için kullanımla sınırlıdır
Emirlerin limit emir olduğundan emin olmak için nerede short veya long isleme girilecegini gosteren cizgilerin %0.5 üstünde/altında verilir!
Multi timeframe RSI StrategyMulti Time Frame RSI is based on Concept of capturing Higher Time frame Momentum. Generally Higher TF Trends are more reliable and long
This strategy get the Monthly Weekly Daily and Current Time frame RSI and then trade on lower time frame taking as base of Higher TF
For Monthly, Weekly and Daily TF => RSI is set to = 40
for Lower TF => Upper RSI is = 65 Lower RSI is = 45
Trading Logic
Long = Current RSI > ( upper RSI and Monthly, Weekly and Daily TF RSI )
Short = Current RSI < ( Lower RSI and Monthly, Weekly and Daily TF RSI )
Brokerages Set to = 0.03%
Risk Mgmt=> Per trade risk = 5000 Rs
Alert=> alert are coded once you schedule TV alert, following singnal will get generated at current TF Candle close
Long = LE,
Close Long = LX
Short = SE,
Close Short= SX
For Bank Nifty = 1 hrs TF is preffered and Nifty = 15 Min TF
AT_MR-15m-ALGO Strategy IndicatorsThis strategy includes systems based on the return-to-mean method.
It creates BUY-SELL signals by getting approval from volatility, trend, momentum, volume, incompatibility and artificial intelligence formations in the system.
Unaffected by Pump and Dump (extreme spikes and dips). In some cases, it can turn this into an opportunity.
Our loss rates in transactions are minimized by algorithms. In other words, it has minimized the loss rates in the position with the stop loss systems and artificial intelligence in it.
IMPORTANT NOTE:
1-) In order for our indicator to be used efficiently, it is necessary to optimize its parameters on a monthly basis. It is offered to you by optimizing regularly by our technical team every month so that it can work efficiently in variable market conditions. Non-optimized systems do not work efficiently in new market conditions.
2-) Strategy should definitely be used on 15-minute charts. Otherwise, it will lead to losses!!!
Turkish Information:
Bu strateji ortalamaya geri dönüş metodu üzerine kurulmuş sistemleri içerir.
Sistem içerisindeki volatilite, trend, momentum, hacim, uyumsuzluk ve yapay zeka formasyonlarından onay alarak AL-SAT sinyallerini oluşturur.
Pump ve Dump(aşırı ani yükselişler ve düşüşler) durumlarından etkilenmez. Bazı durumlarda bunu fırsata çevirebilir.
İşlemlerdeki zarar oranlarımız algoritmalar tarafından minimize edilir. Yani, içerisinde bulunan zarar durdurma sistemleri ve yapay zeka ile pozisyondaki zarar oranlarını minimuma indirmiştir.
ÖNEMLİ NOT:
1-) İndikatörümüzün verimli bir şekilde kullanılabilmesi için her ay düzenli bir şekilde parametrelerinin optimizasyonunun yapılması gerekiyor. Değişken piyasa koşularında verimli çalışabilmesi için her ay düzenli olarak teknik ekibimiz tarafından optimizasyonu yapılarak sizlere sunulmaktadır. Optimize olmayan sistemler yeni piyasa koşullarında verimli çalışmazlar.
2-) Strateji kesinlikle 15 dakikalık grafiklerde kullanılmalıdır. Aksi taktirde kayıplara yol açacaktır!!!
[VJ]Phoenix Force of PSAR +MACD +RSIThis is a simple intraday strategy for working on Stocks or commodities based out on PSAR, MACD , RSI and chop index . You can modify the start time and end time based on your timezones. Session value should be from market start to the time you want to square-off
Important: The end time should be at least 2 minutes before the intraday square-off time set by your broker
Comment below if you get good returns
Strategy: Entry Exits using PSAR and momentum and trend using MACD and RSI. A chop index is used as filtering
Indicators used :
Parabolic SAR is a technical indicator that is used to determine the price direction of stocks and it also draws attention to the traders when the price is changing
PSAR helps you:
Identify when a certain price trend is going to change direction
Indicate the most effective level at which to enter into the trade
Indicate the most effective exit point for the trade
Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a security's price. ... Traders may buy the security when the MACD crosses above its signal line and sell—or short—the security when the MACD crosses below the signal line
RSI is intended to chart the current and historical strength or weakness of a stock or market based on the closing prices of a recent trading period.
Buying/Selling
When trading with the parabolic SAR, you would buy a market when the dots move below the current asset price and are green in colour. Alternatively, you would sell a market when the dots move above the current asset price and are red in colour. We use MACD , RSI to ensure that a right trade is picked when PSAR gives an indication. CI is used to stay away from the range bound market as much as possible.
Usage & Best setting :
Choose a good volatile stock and a time frame - 5m.
MA length : 200
RSI threshold : 50
MACD: 12,26,9
There is stop loss and take profit that can be used to optimise your trade
The template also includes daily square off based on your time.
Kwan NRP Backtest To calculate the coordinates in which the kink of the line will cross,
the standard Forex instruments are used - Relative Strenght Index, Stochastic and Momentum.
It is very easy to optimize them for the existing trading strategy: they all have very
flexible and easily customizable parameters. Signals to enter the market can be 2 situations:
Change of color of the indicator line from red to blue. At the same time, it is worth entering into the purchase;
Change of color of the indicator line from blue to red. In this case, it is worth entering for sale.
The signals are extremely clear and can be used in practice even by beginners. The indicator
itself shows when to make deals: the user only has to accompany them and set the values
of Take Profit and Stop Loss. As a rule, the signal to complete trading is the approach of
the indicator level to the levels of the maximum or minimum of the previous time period.
DyorTool PremiumWhat is the DyorTool Suite?
It is a toolkit that helps the trader to trade the market emotionless, under any condition.
This package is made of 3 scripts :
DyorTool Premium
DyorTool Oscillator
DyorTool Dashboard
What indicators are in these scripts?
DyorTool Premium
DyorTool Algo which gives buy and sell signals : 4 setups. The stats shown in the picture is set with a leverage of 0.4 on each trade with the commission of Binance ( without reduction ).
Range : 4 setups
Ribbon : 4 setups
Aggressiv Scalping : Trend Following - low UT : 2 setups
EVWMA : 4 setups
Ping Pong scalping : 4 setups
Support Line : 4 setups
DyorTool Oscillator
DyorTool RSI : 8 setups
DyorTool Oscillator : 8 setups
Smart candle color : Filter noise of the market
DyorTool Dashboard
Allows the user to feel the market sentiment with a custom candle
Measure the volatility of the market
Show DyorTool Algo trend
Show the momentum trend and measure his evolution.
Smart Stop Loss and Leverage calculation in order to not get in a trade if you are late, or to protect your capital.
All these indicators allow users to :
Trade the market easier, within a clearly defined framework - range.
Detect macro trend and the nearby momentum
Get early in a trade by entering in a trade with one of the 42 setups explained.
Have realistic target profit
Protect your capital with a smart stop loss and calculate the leverage for a defined stop loss
Detect if the market is with or against you so you are not holding more than you should.
This package is unique in its kind and it is complete. You can either do scalping or day-trading with it.
There are many different indicators in it. And a formation is given to explain in detail each indicator. This formation is easy to understand.
As you saw, each indicator has its own setups. These setups are explained one by one, under what condition you can enter in a trade, how to do it, where to exit, what to understand about the market next.
There is no interpretation possible. You are either in a setup or in a waiting zone.
These indicators are self-sufficient. You don't have to use all of them, and not at the same time. You use the ones which fit you better.
5MA_X_LThis is a 5 day moving average crossing long strategy in 10 min. chart, used in short term momentum trading strategy.
Momentum trading Strategy: When S&P 500 index is at up trend (or above 60 sma ), buy 10+ stocks in top 20% stock RS ranking at equal weight using this MA5X_L strategy. Change stocks when any stock exited by algorithm.
Back test start since 2020/7/1, each long entry for condition 1 is $30000, condition 2 is $20000, with max of 2 long positions.
Setup: 10 minutes chart
Buy condition 1) 3 wma cross up 195 wma (5day) 2) 3wma > 78wma > 195wma UP Trend Arrangement (UTA)
Exit condition 1) 3 wma cross under 195 wma 2) position profit > 20% and 3 wma cross under 6 ATRs line (green)
Super Rev StrategyThis is a strategy version of the super Rev Study, its a buy sell indicator that uses a combination of 3 super trend lines , EMA , Williams %R, the squeeze momentum indicator and the MK oscillator
The super trend lines and ema are utilised to locate the trend.
The williams %R has been incorporated to determine overbought/oversold conditions.
The MK oscillator is used to filter out trades
The buy and sell flags are generated based on the following conditions:
The location of the price in relation to the super trend lines
if the price is above or below the EMA .
If the Williams %R is oversold/overbought
Mk oscillator over or under
The squeeze momentum indicator can be added as a filter to only allows trade in certain conditions i.e bullish and above the 0 line or avoid trades if bearish and above the 0 line for example.
All the indicators involved can be customised to created a unique indicator
we strongly recommend testing this strategy in bar replay mode to highlight repaint conditions, increasing the candle confirmation on the Mk oscillator settings can be used to minimise these situations
The strategy results in the image, have used the following inputs to generate the results
Starting equity - 10,000
% of equity - 10%
Commission - 0.0075
Slippage - 10 pips
Created by manomanomano, Developed by @badshah_e_alam
Maximized Scalping On Trend (by Coinrule)" The trend is your friend. " This is one of the most famous and valuable teachings that experienced traders can give to newbies. There is a reason for that.
No matter your views about where the price moves, what matters is where the price heads to . The market is always right, and ultimately it decides who gets the profit and who has to take a loss.
The purpose of this strategy is to spot when it's the most suitable time to buy an asset profiting from a potential short-term price increase. The strategy tends to open trades frequently, closing them on average in one and a half days.
ENTRY
The buy order is placed on assets that present strong momentum when it's more likely that it is about to increase further in the short term.
To capture momentum on the asset, the rule strategy requires:
the MA50 greater than the MA100
the RSI greater than 50
The rule, then, places the order when
The price crosses above the MA9.
EXIT
This strategy comes with a stop loss and a take profit which adapt dynamically to market conditions.
The trade is closed in profit when the RSI is greater than 70 , as the trend could experience a pull-back.
Alternatively, the trade is closed when the RSI is lower than 30 , being this a sign of weakening of the trend.
Pro tip : The 1-hour time frame has proven to return the best results on average. The strategy can also work well in the 15-min time frame if you want to increase the trades' frequency.
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
DEMA/EMA & VOL (Short strategy)Hello,
I am trying to build a short momentum strategy that is based off of the DEMA crossing under the EMA, but because many momentum strategies send too many signals, I have also implemented a volatility condition based on the average true range percentage (ATRP). Essentially, as momentum moves downwards + volatility (ATRP) moves upwards, it shorts the security. However, I am having an issue with exiting trades. I think this would be a great strategy if I could simply get the strategy to exit the trades. Does anyone mind looking through the source code and tell me what I might be doing wrong? In return, I would hope that this strategy could be useful to you in same way! Thank you for looking!
Sentiment OscillatorPrice moves when there are more market takers than there are market makers at a certain price (i.e. price moves up when there are more market buys than limit sells and vice versa). The idea of this indicator is to show the ratio between market takers and market makers in a way that is intuitive to technical analysis methods, and hopefully revealing the overall sentiment of the market in doing so. You can use it in the same way you would other oscillators (histogram crossing zero, divergences, etc). The main difference between this and most volume-weighted indicators is that the price is divided by volume instead of multiplied by it, thus giving you a rough idea of how much "effort" it took to move the price. My hypothesis is that when more volume is needed to move the price, that means bulls and bears are not in agreement of what the "fair price" should be for an asset (e.g. if the candle closes only a bit higher than its open but there's a huge spike in volume, that tells you that a majority of the market are starting to think the price is too high and they've started selling).
Methods of Calculation
1. Price Change Per Volume
The main method this indicator uses to reveal market sentiment is by comparing price change to the volume of trades in a bar.
You will see this calculation plotted in its most basic form by ticking the "Show Bar per Bar Change/Volume" box in the inputs dialog. I personally found that the plots were too noisy and cannot be used in real time reliably due to the fact that there is not much volume at the open of a new bar. I decided to leave in the option to use this method, in case you'd like to experiment with it or get a better grasp of how the indicator works.
2. Exponential Moving Averages
In my quest to smooth out the plotted data, I experimented with exponential moving averages. Applying an EMA on the change per volume data did smooth it out a bit, but still left in a lot of noise. So I worked around it by applying the EMA to the price change first, and then dividing it by the EMA of the volume. The term I use for the result of this calculation is "Market Sentiment" (do let me know if you have a better-fitting term for it ;-)), and I have kept it as an option that you can use in the way you would use other oscillators like CMF, OBV, etc. This option is unticked by default.
3. MACD
I left "Market Sentiment" unchecked as the default option because I thought an easier way to use this indicator would be as a momentum indicator like the MACD . So that's what I turned it into! I applied another EMA on the Market Sentiment, added a slower EMA to subtract from the first, and now we have a MACD line. I added a signal line to subtract from the MACD , and the result is plotted as a histogram... ish . I used area instead of columns for plot style so you don't get confused when comparing with a regular MACD indicator, but you can always change it if an actual histogram is more your taste.
The "histogram" is the main gauge of sentiment change momentum and it is easiest to use, that is why it is the only calculation plotted by default.
Methods of Use
As I have mentioned before, you can use this as you would other oscillators.
-The easiest way to use this indicator is with the Momentum histogram, where crosses over 0 indicate increasing bullish sentiment, and crosses below 0 indicate increasing bearish sentiment. You may also spot occasional divergences with the histogram.
-For the Market Sentiment option, the easiest way to use it is to look for divergences.
-And if you use the "Price Change per Volume of Each Bar", well... I honestly don't know. I guess divergences would be apparent towards the close of a bar, but in realtime, I don't recommend you use this. Maybe if you'd like to study the market movement, looking at historical data and comparing price, volume , and Change per Volume of each bar would come in handy in a pseudo-tape-reading kind of way.
Anyway, that's my explanation of this indicator. The default values were tested on BTC/USDT (Binance) 4h with decent results. You'll have to adjust the parameters for different markets and timeframes.
I have published this as a strategy so you can test out how the indicator performs as you're tweaking the parameters.
I'm aware that the code might not be the cleanest as I have only started learning pine (and code in general) for about a month, so any suggestions to improve the script would be appreciated!
Good luck and happy trading :-)
[laoowai]BNB_USDT_3m_3Commas_Bollinger_MACD_RSI_StrategyBNB_USDT _3m
Release Notes:
Time: 3min
Pair: BNB_USDT
Use: {{strategy.order.alert_message}}
What's the difference with 3Commas Bollinger Strategy by tedwardd:
1. Initial capital: 1210 USDT (10$ Base order / 400$*3 Safety order), if you will change, please change JUST safety order volume or number of safety orders 2-3
2. Using just 2(3) safety order (original script 4)
3. More high-performance strategy for BNB_USDT
4. Using MACD to sell order (original script take profit by scale), thanks Drun30 .
5. Using RSI to analyze the market conditions.
Need to change:
bot_id = input(title="3Commas Bot ID", defval=" YOUR DATA ")
email_token = input(title="Bot Email Token", defval=" YOUR DATA ")
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FAQ copy from tedwardd
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This strategy is intended for use as a way of backtesting various parameters available on 3commas.
The primary inputs for the strategy are:
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// USER INPUTS
Short MA Window - The length of the Short moving average
Long MA Window - The length of the Long moving average
Upper Band Offset - The offset to use for the upper bollinger offset
Lower Band Offset - The offset to use for the lower bollinger offset
Long Stop Loss % - The stop loss percentage to test
Long Take Profit % - The Take profit percentage to test
Initial SO Deviation % - The price deviation percentage required to place to first safety order
Safety Order Vol Step % - The volume scale to test
3Commas Bot ID - (self-explanatory)
Bot Email Token - Found in the deal start message for your bot (see link in the previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match the format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT )
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Start Date, Month, Year and End Date, Month, and Year all apply to the backtesting window. By default, it will use as much data as it can give the current period select (there is less historical data available for periods below 1H) back as far as 2016 (there appears to be no historical data on Trading view much before this). If you would like to test a different period of time, just change these values accordingly.
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Composite bot using a Bollinger band type trading strategy. While its primary intention is to provide users a way of backtesting bot parameters, it can also be used to trigger a deal start by either using the {{strategy.order.alert_message}} field in your alert and providing the bot details in the configuration screen for the strategy or by including the usual deal start message provided by 3commas.
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Original script:
1. 3Commas Bollinger Strategy by tedwardd
2. Momentum Strategy ( BTC /USDT; 1h) - MACD (with source code) by Drun30
RMI + Triple HMRSI + Double EVWRSI + TERSI + CMO StrategyThis is a strange experimental strategy WIP that I decided to upload an early version to share some of what I am working on. Just one script of a few.
It combines Chande Momentum with RMI and some weird ones I am experimenting with - Triple Hull MA RSI, Double Exponential + Volume Weighted RSI, Triple Exponential RSI. And to top it off, a final oscillator that combines the THMRSI with the RMI.
The main intention here, currently, is to test the usefulness of each on different timeframes and values. Currently it is considered to buy when all are below their threshold and sell when all are above, with the chande momentum crossing its line as the final confirmation.
For now there is no individual for each of the unique elements included. I am going to likely use this is a working house project to test other experimental indicators in the future.
It may be some of these are better suited for long term but I do think they have valid uses in checking short and long term momentum at the very least.
I copied the RMI from Everget.
PROFIT MAKER |Crypto|ETH|BTC|YFIThis is a trend-following strategy that works very well for many Crypto assets in the usd or usdt pair
It can be used for both futures and spot!
Some of the assets in which this strategy is proven are
Asset Exchange TF
BINANCE:ADAUSDT Binance 45m
BINANCE:BTCUSDT Binance 1h
BINANCE:YFIUSDT Binance 30m
BINANCE:DOTUSDT Binance 45m
BINANCE:ETHUSDT Binance 30m
BINANCE:LINKUSDT Binance 45m
BINANCE:DOGEUSDT Binance 1h
And many others..
BINANCE:BTCUSDT
BINANCE:LINKUSDT
What is this strategy based on?
It is a combination of various parameters, including
-RSI: The relative strength index (RSI) is a momentum indicator used in technical analysis that measures
the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset.
-MACD: Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows
the relationship between two moving averages of a security’s price.
-ADX: ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time.
-DMI: DMI is a moving average of range expansion over a given period (the default is 14 days). The positive directional
movement indicator (+DMI) measures how strongly price moves upward; the negative directional movement indicator (-DMI)
measures how strongly price moves downward. The two lines reflect the respective strength of the bulls versus the bears.
Included:
Different forms of Take profit, included:
Take profit on squeeze candles
Take profit based on Risk-Benefit (RR)
Take profit a pre-determined %.
Different forms of Stop Loss, including
ATR-based stop loss
Trail stop loss (with option to use a trigger)
Stop loss a pre-determined %.
**All trades include 0.1% of fees + slippage
** The statistics displayed are for the year 01-01-2020 and the period from 2021 to the date of publication (14-01-2020)
For access you can send a message or consult in my social networks.
Links in my tradingview signature (below).
Quansium Series A BacktestThis comes with preconfigured setups or strategies. Simply choose one from our list based on the timeframe it was made for. Leverage can be changed; to keep trading safe, a maximum of 2 is allowed. In our findings, this was able to trade crypto (specifically BTC ), MES (Micro E-mini S&P 500 Index Futures ), and stocks. It is important to know that setups A, B, C, and D use variable position sizing, and dynamic stop loss/trailing stop/take profit, these parameters are provided through the alerts. The rest of the strategies were created with a simpler approach in mind, just plainly entry/exits signals.
Quansium as a framework:
Price reformat: we take the price source (Open, Close, High, Low) and remove any noise that affects the accuracy of our signals.
Time awareness: we take several time periods of the data on the chart such as start, end, and whole. We use this to add more depth to our signals.
Position size: our backtest tries to recreate as much as the real world trades as possible so our position is determined by the current equity. We also use the volatility of the market to increase or decrease our exposure or risk.
Risk awareness: stop loss, take profit, trailing stop are the risk exits we use to provide our users some peace of mind. These parameters are totally dynamic and follow the same behavior of the market.
Signals filtering: to make almost non-existent any errors and increase the quality of our trades, our indicators go through multiple phases, this avoid double entries or early exits, and help maintain a record of what has transpired and what’s currently taking place.
Indicators: whenever we can we use custom code or our own functions instead of the defaults ones provided. This gives us total control of what we’re trying to achieve. In many cases we tend to combine several indicators’ logic into one creating a more personalized take on it.
Easiness: since we started our main goal has been to provide the easiest and fastest way to alerts’ creation. It has taken us years to reach this level where now we already provide a list of preset strategies so the user doesn’t have to spend much time tinkering with scripts and more on other matters, because we know life is more than just trading.
Raw signals: we provide the option to turn off as much of our advanced features such as stop loss, take profit, trailing stop, dynamic sizing, etc, etc for a simple approach. Trade signals still go through the signals filtering method mentioned above,
Timeframe pairing: we take trading very seriously, by no way we’ll want the user to lose money (although such thing is expected because past results aren’t an indicative of futures ones), through years of experience we have found what are usually common mistakes the user makes, this feature allows us to only activate the strategy if the right timeframe is chosen.
Trend filters: through the years we have improved the arts of the trend. We like to keep things simple but yet powerful. We observe the macro and micro trend of the security. This helps confirm we are entering at the desirable timing. We also incorporate volume and volatility into decision making, we simply programmed it to trade when these are increasing and higher than the average values observed in both the short and long term. Finally we take into account the strength of the pair to make our final choice of whether to enter or wait, and if anything flashes contrary movement then we cancel the upcoming signal and stop monitoring until the next one comes along.
Full automated risk: stop loss, take profit, and trailing stops usually are set in percentages, and optimized even more using the current market behavior to become more adaptive. But always remains some sort of fixation, so the user must choose a value somewhere. This is where our framework shines the most, as previously mentioned before when we take time into our calculations, we use several periods to observe performance and get values that keep our risk exits natural and closest to the flow of the market itself.
Setups:
A: Centered oscillator with the difference of several moving averages with more sensitive settings. Momentum focused.
B: Centered oscillator using simple moving averages. Trend-Following focused.
C: Centered oscillator using smoothed data with the help of faster moving averages. Trend-Following focused.
D: Centered oscillator with the difference of several moving averages with less sensitive settings. Trend-Following focused.
E: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses less sensitive settings. Trend-Following focused.
F: Finds the relationship between multiple readings of the price’s relative strength to better pin-point downs and ups. Trend-Following focused.
G: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses more sensitive settings. Momentum focused.
H: Multiple centered oscillators using various moving averages. Trend-Following focused.
I: Centered oscillator using simple moving averages. Momentum focused.
Note: The framework is composed of almost 1000 lines of code as compared to each indicator that makes up the setup which is around 10. The power from Quansium doesn't come from the strategies themselves but rather the overall system that turns simple signals into complex and advanced trades.
Strategy Tester:
Initial Capital: chosen value is $20,000, as an approximate to Bitcoin’s ATH (All-Time High). In previous iterations we noticed some trades won’t go through if the capital was less than the ATH.
Order Size: 100% of equity (although the script controls this, and this is of no regards to the results).
Pyramiding: 1, system doesn’t place multiple entries in a row, only one at a time.
Commission: This simulates order execution with custom trading fees. Commissions are turned off by default because this script works in various markets and each operates differently. In order to reach results that are close to real world conditions, it is imperative the user fills this based upon their broker or exchange data.
When we started, we were focused on finding the best indicator, or creating it ourselves. After years we came to realize that the secret is not in which indicator you use but the framework behind it. All strategies have bad, good, best, worst performance periods. The key of a good system is to help keep you safe when it’s down and maximize your potential when it’s up. We hope this material at the very minimum inspires you to keep going and not lose faith, because it is not the smartest who win but those who persevere.
Profits Unlimited Pro Strategy** This is the backtesting (strategy) version of ~ Profits Unlimited Pro ~ proprietary script in TradingView. **
~ Profits Unlimited Pro Strategy ~
֎ Trading system script on tradingview that brings an easy approach to trading with a high profitability rate
֎ Our proprietary formula was developed over the course of the past two years through a combination of trial and error and algorithmic backtesting.
-- HOW IT WORKS --
֎ The algorithm starts with a proprietary script combining custom inputs with a formula that works with custom bollinger bands settings and specific RSI levels to results in deadly accurate signals for long and short entry points.
but that's not all...
֎ When we first developed our formula, we noticed that it produced a lot of accurate signals but also didn't fully understand the dynamics of market momentum and trending directions...
...so there were a lot of needless calls being made that were reducing profitability.
You see, most markets spend roughly 80% of the time trading sideways with no significant trend either up or down...
...And trading these sideways markets commonly result in what's called a "whipsaw"...
A whipsaw is when price is moving in one direction but then quickly pivots to move in the opposite direction resulting in a loss. And nobody wants to be stuck trading in a sideways market getting killed by whipsaws all day...
So what did we do to fix this?...
-- THE WINNING FORMULA --
֎ We added the Average Directional Index into our custom formula with a goal of teaching the algorithm to only trade during periods of strong momentum and trends whether up or down.
֎ We also added trend exhaustion levels to give clear indication for exit signals and help determine best times of getting out of a trade.
֎ Trend Exhaustion Levels work in conjunction with trailing stop loss % and both are customizable for ideal exits and profitability.
֎ The results are mind blowing!
-- WHO IT'S FOR --
֎ Optimized for crypto markets, to catch trend movements as soon as possible and maximize profitability
֎ It's A Swing Traders Dream.
-- What You Get --
֎ Sell & Buy alerts, Stop Loss alerts and always adding new features!
֎ Customizable settings.
֎ Chrome Extension in development for fine-tuning settings automatically(COMING SOON)
-You will be able to select an asset. push a button. and the extension will find the best settings for you!
֎ Users Facebook community for learning, sharing and direct support
If you’d like to test the trading script in TradingView, I can give you access to a 10 days trial.
Please send me PM in tradingview and I’ll activate it right away.
Thank you!
