QuickSilver Intraday using RSIThis is a simple intraday strategy using very basic intraday super indicators - RSI & VWAP for working on Stocks . You can modify the values on the stock and see what are your best picks. Comment below if you found something with good returns
Strategy:
Indicators used :
The Relative Strength Index (RSI) is one of the most popular and widely used momentum oscillators.The values of the RSI oscillator, typically measured over a 14-day period, fluctuate between zero and 100. The Relative Strength Index indicates oversold market conditions when below 30 and overbought market conditions when above 70
VWAP identifies the true average price of a stock by factoring the volume of transactions at a specific price point and not based on the closing price. VWAP can add more value than your standard 10, 50, or 200 moving average indicators because VWAP reacts to price movements based on the volume during a given period.
Buying happens at VWAP Breakouts which is then validated with RSI to check for overbought & oversold conditions.
Aggressive trade stop can be employed by using the % for long and shorts in the strategy.
Usage & Best setting :
Choose a good volatile stock and a time frame - 10m.
RSI : 9
Overbought & Oversold - can be varied as per user
There is stop loss and take profit that can be used to optimise your trade
Extending this to,
In general guidelines for RSI :
Short-term intraday traders (day trading) often use lower settings with periods in the range of 9-11.
Medium-term swing traders frequently use the default period setting of 14.
Longer-term position traders often set it at a higher period, in the range of 20-30.
The template also includes daily square off based on your time.
Pesquisar nos scripts por "momentum"
[VJ]Thor for MFIThis is a simple intraday strategy for working on Stocks or commodities . 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:
Indicators used :
Moving average (MA) is a widely used technical indicator that smooths out price trends by filtering out the “noise” from random short-term price fluctuations. Here moving averages are used to identify trend direction and to determine support and resistance levels. Overbought and oversold regions are also taken into consideration
The Money Flow Index ( MFI ) is a momentum indicator that measures the flow of money into and out of a security over a specified period of time. It is related to the Relative Strength Index ( RSI ) but incorporates volume , whereas the RSI only considers price. The MFI is calculated by accumulating positive and negative Money Flow values (see Money Flow ), then creating a Money Ratio. The Money Ratio is then normalized into the MFI oscillator form.
Using the combination of Overbought and Oversold values and varying MFI and using the MA filter to ensure the direction , we can buy/sell when conditions are met
Buying with MFI
1. MFI drops below 20 and enters inside oversold zone.
2. MFI bounces back above 20.
3. MFI pulls back but remains above 20.
4. A MFI break out above its previous high is a good buy signal.
Selling with MFI
1. MFI rises above 80 and enters inside overbought zone.
2. MFI drops back below 80.
3. MFI rises slightly but remains below 80.
4. MFI drops lower than its previous low is a signal to short sell or profit booking
Usage & Best setting :
Choose a good volatile stock and a time frame - 5m.
MFI factor : 3
Moving Average : 80
Overbought & Oversold - can be varied as per user
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.
[VJ]War Machine PAT IntraThis is a simple intraday strategy for working on Stocks . You can modify the values on the stock and see what are your best picks. Comment below if you found something with good returns
Strategy:
Indicators used :
The Choppiness Index is designed to determine whether the market is choppy or trading sideways, or not choppy and trading within a trend in either direction. Using a scale from 1 - 100, the market is considered to be choppy as values near 100 (over 61.80) and trending when values are lower than 38.20)
The Money Flow Index (MFI) is a momentum indicator that measures the flow of money into and out of a security over a specified period of time. It is related to the Relative Strength Index (RSI) but incorporates volume, whereas the RSI only considers price. The MFI is calculated by accumulating positive and negative Money Flow values (see Money Flow), then creating a Money Ratio. The Money Ratio is then normalized into the MFI oscillator form.
Using the combination of CI (trend factor as constant) and varying MFI, we can buy/sell when conditions are met
Buying with MFI
1. MFI drops below 20 and enters inside oversold zone.
2. MFI bounces back above 20.
3. MFI pulls back but remains above 20.
4. A MFI break out above its previous high is a good buy signal.
Selling with MFI
1. MFI rises above 80 and enters inside overbought zone.
2. MFI drops back below 80.
3. MFI rises slightly but remains below 80.
4. MFI drops lower than its previous low is a signal to short sell or profit booking
Usage & Best setting :
Choose a good volatile stock and a time frame - 5m.
Trending factor : 50
Overbought & Oversold - can be varied as per user
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.
ADX + BB %B + AO + EMA by @DaviddTechThis trading strategy combines different indicators:
1) ADX , Average Directional Movement to make sure we are in a trend.
2) BB %B Bollinger Band %B: to spots relative price position to Bollinger Bands
3) AO Awesome Oscillator for momentum - you will need to configure this to fit the pair.
4) EMA 5, EMA 21, EMA 50, EMA 200: crossovers to get our entry short or long & trend direction
This script was inspired by TraderPro - Crazy 78% Win Rate Proven Trading Strategy Revealed - ADX + BB %B + AO + EMA
My settings are pretty much as default.
- I have added a 10,000 USD default
- 7% of portfolio is used to create the results.
You can of course optimize all of this in the settings.
WARNING:
- For purpose educate only
- Plots EMAs and other values on chart.
- This script to change bars colors.
Combo Backtest 123 Reversal & Awesome Oscillator (AO) This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator is based on Bill Williams` recommendations from his book
"New Trading Dimensions". We recommend this book to you as most useful reading.
The wisdom, technical expertise, and skillful teaching style of Williams make
it a truly revolutionary-level source. A must-have new book for stock and
commodity traders.
The 1st 2 chapters are somewhat of ramble where the author describes the
"metaphysics" of trading. Still some good ideas are offered. The book references
chaos theory, and leaves it up to the reader to believe whether "supercomputers"
were used in formulating the various trading methods (the author wants to come across
as an applied mathemetician, but he sure looks like a stock trader). There isn't any
obvious connection with Chaos Theory - despite of the weak link between the title and
content, the trading methodologies do work. Most readers think the author's systems to
be a perfect filter and trigger for a short term trading system. He states a goal of
10%/month, but when these filters & axioms are correctly combined with a good momentum
system, much more is a probable result.
There's better written & more informative books out there for less money, but this author
does have the "Holy Grail" of stock trading. A set of filters, axioms, and methods which are
the "missing link" for any trading system which is based upon conventional indicators.
This indicator plots the oscillator as a histogram where periods fit for buying are marked
as blue, and periods fit for selling as red. If the current value of AC (Awesome Oscillator)
is over the previous, the period is deemed fit for buying and the indicator is marked blue.
If the AC values is not over the previous, the period is deemed fir for selling and the indicator
is marked red.
WARNING:
- For purpose educate only
- This script to change bars colors.
SWING TRADING HOURLY - NIFTYSWING TRADING STARTEGY - NIFTY
TIME FRAME - 1 Hour
INSTRUMENT - NIFTY
STARTEGY LOGIC - Startegy involves 4 components to initiate a trade.
1). Simple moving average cross for trend confirmation.
2). ADX (higher time frame) for trend confirmation.
3). RSI for momentum confirmation.
4). Price Action confirmation in form of range breakout to TRIGGER a trade. Range breaakout is inspired from Donchain Channels
EXIT LOGIC - Close above / below the SMA (simple moving average) in oppoite direction.
TRADE TYPE - Swing Trading
HOLDING PERIOD - As long as Trend remains and till EXIT signal appears.
TRADE METHOD -----
METHOD 1 -
BUY / SHORT NIFTY Futures as per the trend direction.
METHOD 2 -
OPTION SELLING. At The Money (ATM) Weekly Options can be sold to gain premium decay (theta decay). This process can be continued to sell ATM option every week till the trade signal is active.
NOTE 1 - Option Selling can be more profitable in weekly option selling but also carries risk. One must have deep knowledge about risks related to Option Selling.
NOTE 2 - Please analyse the trade signals from this startegy for some period to gain confidence before starting to trade.
NOTE 3 - Trading is a serious business and one must consult a financial advisor before taking a trade. Profits / Loss from this script (strategy) is completely individual user's responsibility.
HYE Trend Hunter [Strategy]*** Stratejinin Türkçe ve İngilizce açıklaması aşağıya eklenmiştir.
HYE Trend Hunter
In this strategy, two of the most basic data (price and volume) necessary for detecting trends as early as possible and entering the trade on time are used. In this context, the approaches of some classical and new generation indicators using price and volume have been taken into account.
The strategy is prepared to generate buy signals only. The following steps were followed to generate the buy and exit signals.
1-) First of all, the two most basic data of the strategy, “slow leading line” and “fast leading line” need to be calculated. For this, we use the formula of the “senkou span A” line of the indicator known as the Ichimoku Cloud. We also need to calculate lines known as tenkan sen and kijun sen in ichimoku because they are used in the calculation of this formula.
The high and low values of the candles are taken into account when calculating the Tenkansen, Kijunsen and Senkou Span A lines in the Ichimoku cloud. In this strategy, the highest and lowest values of the periodic VWAP are taken into account when calculating the "slow leading line" and "fast leading line". (The periodic vwap formula was coded and made available by @neolao on tradingviev). Also, in the ichimoku cloud, while the Senkou Span A line is plotted 26 periods into the future, we consider the values of the fast and slow leading lines in the last candle in this strategy.
ORIGINAL ICHIMOKU SPAN A FORMULA
Tenkansen = (Highest high of the last 9 candles + Lowest low of the last 9 candles) / 2
Kijunsen = (Highest high of the last 26 candles + Lowest low of the last 26 candles) / 2
Senkou Span A = Tenkansen + Kijunsen / 2
HYE TREND HUNTER SPAN A FORMULA*
Tenkansen = (Highest VWAP of the last 9 candles + Lowest VWAP of the last 9 candles) / 2
Kijunsen = (Highest VWAP of the last 26 candles + Lowest VWAP of the last 26 candles) / 2
Senkou Span A = Tenkansen + Kijunsen / 2
* We use the original ichimoku values 9 and 26 for the slow line, and 5 and 13 for the fast line. These settings can be changed from the strategy settings.
2-) At this stage, we have 2 lines that we obtained by using the formula of the ichimoku cloud, one of the most classical trend indicators, and by including the volume-weighted average price.
a-) Fast Leading Line (5-13)
b-) Slow Leading Line (9-26)
For the calculation we will do soon, we get a new value by taking the average of these two lines. Using this value, which is the average of the fast and slow leading lines, we plot the Bollinger Bands indicator, which is known as one of the most classic volatility indicators of technical analysis. Thus, we are trying to understand whether there is a volatility change in the market, which may mean the presence of a trend start. We will use this data in the calculation of buy-sell signals.
In the classical Bollinger Bands calculation, the standard deviation is calculated by applying a multiplier at the rate determined by the user (2 is used in the original settings) to the moving average calculated with the “closing price”, and this value is added or subtracted from the moving average and upper band and lower band lines are drawn.
In the HYE Trend Hunter Strategy, instead of the moving average calculated with the closing price in the Bollinger Band calculation, we consider the average of the fast and slow leading lines calculated in the 1st step and draw the Bollinger upper and lower bands accordingly. We use the values of 2 and 20 as the standard deviation and period, as in the original settings. These settings can also be changed from the strategy settings.
3-) At this stage, we have fast and slow leading lines trying to understand the trend direction using VWAP, and Bollinger lower and upper bands calculated by the average of these lines.
In this step, we will use another tool that will help us understand whether the invested market (forex, crypto, stocks) is gaining momentum in volume. The Time Segmented Volume indicator was created by the Worden Brothers Inc. and coded by @liw0 and @vitelot on tradingview. The TSV indicator segments the price and volume of an investment instrument according to certain time periods and makes calculations on comparing these price and volume data to reveal the buying and selling periods.
To trade in the buy direction on the HYE Trend Hunter Strategy, we look for the TSV indicator to be above 0 and above its exponential moving average value. TSV period and exponential moving average period settings (13 and 7) can also be changed in the strategy settings.
BUY SIGNAL
1-) Fast Leading Line value should be higher than the Fast Leading Line value in the previous candle.
2-) Slow Leading Line value should be higher than the Slow Leading Line value in the previous candle.
3-) Candle Closing value must be higher than the Upper Bollinger Band.
4-) TSV value must be greater than 0.
5-) TSV value must be greater than TSVEMA value.
EXIT SIGNAL
1-) Fast Leading Line value should be lower than the Fast Leading Line value in the previous candle.
2-) Slow Leading Line value should be lower than the Slow Leading Line value in the previous candle.
TIPS AND WARNINGS
1-) The standard settings of the strategy work better in higher timeframes (4-hour, daily, etc.). For lower timeframes, you should change the strategy settings and find the best value for yourself.
2-) All lines (fast and slow leading lines and Bollinger bands) except TSV are displayed on the strategy. For a simpler view, you can hide these lines in the strategy settings.
3-) You can see the color changes of the fast and slow leading lines as well as you can specify a single color for these lines in the strategy settings.
4-) It is an strategy for educational and experimental purposes. It cannot be considered as investment advice. You should be careful and make your own risk assessment when opening real market trades using this strategy.
_______________________________________________
HYE Trend Avcısı
Bu stratejide, trendlerin olabildiğince erken tespit edilebilmesi ve zamanında işleme girilebilmesi için gerekli olan en temel iki veriden (fiyat ve hacim) yararlanılmaktadır. Bu kapsamda, fiyat ve hacim kullanan bazı klasik ve yeni nesil indikatörlerin yaklaşımları dikkate alınmıştır.
Strateji yalnızca alış yönlü sinyaller üretecek şekilde hazırlanmıştır. Alış ve çıkış sinyallerinin üretilmesi için aşağıdaki adımlar izlenmiştir.
1-) Öncelikle, stratejinin en temel iki verisi olan “yavaş öncü çizgi” ve “hızlı öncü çizgi” hesaplamasının yapılması gerekiyor. Bunun için de Ichimoku Bulutu olarak bilinen indikatörün “senkou span A” çizgisinin formülünü kullanıyoruz. Bu formülün hesaplamasında kullanılmaları nedeniyle ichimoku’da tenkan sen ve kijun sen olarak bilinen çizgileri de hesaplamamız gerekiyor.
Ichimoku bulutunda Tenkansen, Kijunsen ve Senkou Span A çizgileri hesaplanırken mumların yüksek ve düşük değerleri dikkate alınıyor. Bu stratejide ise “yavaş öncü çizgi” ve “hızlı öncü çizgi” hesaplanırken periyodik VWAP’ın en yüksek ve en düşük değerleri dikkate alınıyor. (Periyodik vwap formülü, tradingviev’de @neolao tarafından kodlanmış ve kullanıma açılmış). Ayrıca, ichimoku bulutunda Senkou Span A çizgisi geleceğe yönelik çizilirken (26 mum ileriye dönük) biz bu stratejide öncü çizgilerin son mumdaki değerlerini dikkate alıyoruz.
ORJİNAL ICHIMOKU SPAN A FORMÜLÜ
Tenkansen = (Son 9 mumun en yüksek değeri + Son 9 mumun en düşük değeri) / 2
Kijunsen = (Son 26 mumun en yüksek değeri + Son 26 mumun en düşük değeri) / 2
Senkou Span A = Tenkansen + Kijunsen / 2
HYE TREND HUNTER SPAN A FORMÜLÜ*
Tenkansen = (Son 9 mumun en yüksek VWAP değeri + Son 9 mumun en düşük VWAP değeri) / 2
Kijunsen = (Son 26 mumun en yüksek VWAP değeri + Son 26 mumun en düşük VWAP değeri) / 2
Senkou Span A = Tenkansen + Kijunsen / 2
* Yavaş çizgi için orijinal ichimoku değerleri olan 9 ve 26’yı kullanırken, hızlı çizgi için 5 ve 13’ü kullanıyoruz. Bu ayarlar, strateji ayarlarından değiştirilebiliyor.
2-) Bu aşamada, elimizde en klasik trend indikatörlerinden birisi olan ichimoku bulutunun formülünden faydalanarak, işin içinde hacim ağırlıklı ortalama fiyatı da sokmak suretiyle elde ettiğimiz 2 çizgimiz var.
a-) Hızlı Öncü Çizgi (5-13)
b-) Yavaş Öncü Çizgi (9-26)
Birazdan yapacağımız hesaplama için bu iki çizginin de ortalamasını alarak yeni bir değer elde ediyoruz. Hızlı ve yavaş öncü çizgilerin ortalaması olan bu değeri kullanarak, teknik analizin en klasik volatilite indikatörlerinden birisi olarak bilinen Bollinger Bantları indikatörünü çizdiriyoruz. Böylelikle piyasada bir trend başlangıcının varlığı anlamına gelebilecek volatilite değişikliği var mı yok mu anlamaya çalışıyoruz. Bu veriyi al-sat sinyallerinin hesaplamasında kullanacağız.
Klasik Bollinger Bantları hesaplamasında, “kapanış fiyatıyla” hesaplanan hareketli ortalamaya, kullanıcı olarak belirlenen oranda (orijinal ayarlarında 2 kullanılır) bir çarpan uygulanarak standart sapma hesaplanıyor ve bu değer hareketli ortalamaya eklenip çıkartılarak üst bant ve alt bant çizgileri çiziliyor.
HYE Trend Avcısı stratejisinde, Bollinger Bandı hesaplamasında kapanış fiyatıyla hesaplanan hareketli ortalama yerine, 1. adımda hesapladığımız hızlı ve yavaş öncü çizgilerin ortalamasını dikkate alıyoruz ve buna göre bollinger üst ve alt bantlarını çizdiriyoruz. Standart sapma ve periyot olarak yine orijinal ayarlarında olduğu gibi 2 ve 20 değerlerini kullanıyoruz. Bu ayarlar da strateji ayarlarından değiştirilebiliyor.
3-) Bu aşamada, elimizde VWAP kullanarak trend yönünü anlamaya çalışan hızlı ve yavaş öncü çizgilerimiz ile bu çizgilerin ortalaması ile hesaplanan bollinger alt ve üst bantlarımız var.
Bu adımda, yatırım yapılan piyasanın (forex, kripto, hisse senedi) hacimsel olarak ivme kazanıp kazanmadığını anlamamıza yarayacak bir araç daha kullanacağız. Time Segmented Volume indikatörü, Worden Kardeşler şirketi tarafından oluşturulmuş ve tradingview’de @liw0 ve @vitelot tarafından kodlanarak kullanıma açılmış. TSV indikatörü, bir yatırım aracının fiyatını ve hacmini belirli zaman aralıklarına göre bölümlere ayırarak, bu fiyat ve hacim verilerini, alış ve satış dönemlerini ortaya çıkarmak için karşılaştırmak üzerine hesaplamalar yapar.
HYE Trend Avcısı stratejisinde alış yönünde işlem yapmak için, TSV indikatörünün 0’ın üzerinde olmasını ve kendi üstel hareketli ortalama değerinin üzerinde olmasını arıyoruz. TSV periyodu ve üstel hareketli ortalama periyodu ayarları da (13 ve 7) strateji ayarlarından değiştirilebiliyor.
ALIŞ SİNYALİ
1-) Hızlı Öncü Çizgi değeri bir önceki mumdaki Hızlı Öncü Çizgi değerinden yüksek olmalı.
2-) Yavaş Öncü Çizgi değeri bir önceki mumdaki Yavaş Öncü Çizgi değerinden yüksek olmalı.
3-) Kapanış Değeri, Üst Bollinger Bandı değerinden yüksek olmalı.
4-) TSV değeri 0’dan büyük olmalı.
5-) TSV değeri TSVEMA değerinden büyük olmalı.
ÇIKIŞ SİNYALİ
1-) Hızlı Öncü Çizgi değeri bir önceki mumdaki Hızlı Öncü Çizgi değerinden düşük olmalı.
2-) Yavaş Öncü Çizgi değeri bir önceki mumdaki Yavaş Öncü Çizgi değerinden düşük olmalı.
İPUÇLARI VE UYARILAR
1-) Stratejinin standart ayarları, yüksek zaman dilimlerinde (4 saatlik, günlük vs.) daha iyi çalışıyor. Düşük zaman dilimleri için strateji ayarlarını değiştirmeli ve kendiniz için en iyi değeri bulmalısınız.
2-) Stratejide tüm çizgiler (hızlı ve yavaş öncü çizgiler ile bollinger bantları) -TSV dışında- açık olarak gelmektedir. Daha sade bir görüntü için bu çizgilerin görünürlüğünü strateji ayarlarından gizleyebilirsiniz.
3-) Hızlı ve yavaş öncü çizgilerin renk değişimlerini görebileceğiniz gibi bu çizgiler için tek bir renk olarak da strateji ayarlarında belirleme yapabilirsiniz.
4-) Eğitim ve deneysel amaçlı bir stratejidir. Yatırım tavsiyesi olarak değerlendirilemez. Bu stratejiyi kullanarak gerçek piyasa işlem açarken dikkatli olmalı ve kendi risk değerlendirmenizi yapmalısınız.
ADX + BB %B + AO + EMA [Luca Massuda]This trading strategy combines different indicators:
1) ADX, Average Directional Movement: to spot the trend
2) BB %B Bollinger Band %B: to spost relative price position to Bollinger Bands
3) AO Awesome Oscillator: to spot momentum
4) ema 5,ema21, ema50, ema200: to decide long or short position
You can configure:
Take profit % : at which % gains to take profit from the entry price
Stop loss % : at which % stop loss from the entry price
BB %B Overbought: At which level you consider Overbought respect to Bollinger Bands (values 0 to 100)
BB %B Oversold: At which level you consider Oversold respect to Bollinger Bands (values 0 to 100)
Awesome Oscillator: AO level to consider a long or short position +/- 2
ADX: ADX value to consider a long or short position
Start Date, Month, Year: Starting point for a backtesting strategy
Lenght , Source , Standard Deviation: Bollinger Bands values
ADX smoothing, DI Lenght: ADX values
Green and purple zones indicate when the strategy can go long or short.
Default Long conditions:
ema5>ema21 and ema50>ema200 and bb>75% and ao>2 and adx>15
Default Short conditions:
ema515
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.
Hull MA of RSI StrategyThis simple strategy base on RSI value of Close Price, High Price, Low Price, Median Price and RSI value smoothed by Hull Moving Average.
1. Optimize parameter on BTC H1 Binance chart
RSI period: 13
Hull MA period: 3
Middle Channel: 55-45
Overbough / Oversold: 70-30
2. Setup
2.1 Long Condition
- RSI of Close Price crossunder Overbought
- Close Price lower than Median Price (HL2)
- RSI of Median Price above Overbought
2.2 Close Long Position
- RSI of Close Price crossover Overbought (Take profit)
or
- RSI of Low Price crossunder upper value of Middle Channel (Stop loss)
2.2 Short Condition
- RSI of Close Price crossover Oversold
- Close Price higher than Median Price (HL2)
- RSI of Median Price below Oversold
2.2 Close Long Position
- RSI of Close Price crossunder Oversold (Take profit)
or
- RSI of High Price crossover lower value of Middle Channel (Stop loss)
3. Idea
- Follow strong momentum of Price to catch Flash Buy/Sell Bar in Crypto Market
- RSI of High Price and Low Price help to regconize setup failure quickly.
- This case study desire to find a balance of Winrate, Profit factor, Sharpe Ratio
RSI Strategy w/ Trailing SL / TP Optimized for Crypto [Strategy]This strategy is designed to use the RSI and EMA filters. A 200 period EMA is used for short / long filters, and the 50 period EMA is used to determine the direction of the short term trend.
In addition, the script uses "rate of change" for the fast EMA (trend), volume , RSI (momentum), and price (volatility) and only takes trades when all are in optimal conditions.
I.E., the EMA is in an uptrend, the volume is increasing, price is in an uptrend, and the RSI is in an uptrend, so we will place a Long trade.
This strategy uses EMAs as a trailing stop loss and take profit. As this is a trend following strategy, the idea is to maximize profits when correct and minimize losses when
wrong.
It was designed specifically using crypto pairs, and was optimized for the 10 minute chart.
My goal was to get the best use out of the RSI indicator. I was originally an MACD fanboy, but have recently converted.
Want to help me improve this code or strategy? Have suggestions for improvement? Leave them in the comments below.
Thanks for using my script! I hope it works well for you and good luck in the markets.
If you have any questions, please leave them in the comments and I'll do my best to respond.
This script does not repaint as it only relies on close data to make a decision to enter a trade.
How to use this strategy:
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Enable Long Entries? - Used to enable or disable the strategy from executing long entries.
Enable Short Entries? - Used to enable or disable the strategy from executing short entries.
How Many Bars To Look Back for Hi/Lo: - This is used for the Stop Loss and Take Profit targets. An integer of bars is used to look back and calculate the values.
RSI Length (Rec: 8) - The length of the RSI
Source - The RSI Source
Use Slow EMA? - If checked, a 200 period EMA will be used to filter entries long or short (only take shorts when the price is below, long when above). In addition, the script will close any trades that cross the 200 period EMA. By default this is disabled.
EMA Slow - the period of the Slow EMA (200 by default)
EMA Slow Src - what to use to calculate the Slow EMA (high by default)
EMA Fast - The Fast EMA (50 period) is used to calculate the direction of the short term trend. This also factored into the Rates of Change.
EMA Fast Src - what to use to calculate the Fast EMA
ATR Length - If used, the ATR length is used to calculate the Stop Loss and Take Profit targets.
SL Multiplier - The distance away from the initial value to multiply the Stop Loss
TP Multiplier - The distance away from the initial value to multiply the Take Profit.
Use EMA as SL / TP? - If true (default) a 3 period EMA is used to calculate Stop Loss and Take Profit targets. Else, an ATR is used to calculate these values.
Stop Loss / Take Profit Offset - Default: 3 - this is used to shift the EMA / ATR Stop Loss and Take Profit lines to the right X bars. This is to ensure that they are hit properly and not exceeded.
Short Len Vol - Use to calculate the volume of the short length, used in rate of change calculations
Long Len - Use to calculate the volume of the long length, used in rate of change calculations
RSI Long Entry Val - Minimum RSI crossover value to enter a trade Long. If the RSI is below this value, trade entries are not valid.
RSI Long Cutoff Threshold - Long entry RSI value cutoff to no longer enter trades. If the RSI is above this value, trades entries are not valid.
RSI Short Entry Val - Minimum RSI crossover value to enter a trade Short. If the RSI is above this value, trade entries are not valid.
RSI Short Cutoff Threshold - Short entry RSI value cutoff to no longer enter trades. If the RSI is below this value, trades entries are not valid.
ROC Fast EMA - Calculates the rate of change between the Fast Ema now and 'X' bars ago. \n\n For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
ROC Price - Calculates the rate of change between the most recent price close and 'X' bars ago. \n\n For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
ROC RSI - Calculates the rate of change between the RSI now and 'X' bars ago. \n\n For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
Use Close for SL - Default = Off - If checked, when a candle hits the stop loss, the trade will close on the next candle. If unchecked, the trade will remain open until the candle closes at or beyond the stop loss lines.
Custom Message Boxes - Primarily used for bots, but can be used to also insert your own messages for your trading alerts.
Scalper Helper System===========================================================================
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Description
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Scalper Helper System combines a series of trade strategies which have been learned and honed in the Jim of All Trades channel.
Paixy has contributed candlestick combination rules, Jonas has shared his deep understanding of Stochastic.
Jim himself has taught clearly on the merits of RSI.
This system attempts to formulate all the notes and rules I have made over the past months.
The system searches for 10 - 15 rules which are divided into bullets and bombs. Bombs relate to momentum, so these signals may not be pinpoint accurate, but they are more often leading to bigger moves.
This initial version is released mainly only to the JOAT community to help continue the development of the idea and to help find
continued improvements.
Special thanks to FiendishFeather for his strategy work, (check out his work to learn how to apply any trading strategy to his back testing harness), and the date filtering snippet and the tip to show this option at the top.
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The strategy decisions are based on the following general rules:
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BULLETs are hint to the idea of firing a small sized position into the market, BOMBs are hints to go all in - however this does not mean proper risk management should be forgotten.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
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Bullet1 uses the value of the stochastic and checks for buy/sell cross over on 5m, 8m and 13m chart.
These values should be calculated on a ratio basis ideally.
Bullet2 measures divergence between the printed Stochastic signals.
Bullet3 has been decommissioned.
Bullet4 is an RSI divergence and value indicator.
Bullet5 has been decommissioned.
Bullet6 uses the history of the stochastic buy and sell signals
Bullet7 uses the Scalper Helper Trends for entries by attempting to see how the overall trend is changing. More refinement is needed here.
Bullet8 uses the Scalper Helper Trends on multiple timeframes for entries.
Bullet9 strict buy/sell signals from Stochastic RSI
Bomb1 relies on the Fast, Medium and Slow MA's being correctly lined up as well as the Stochastic, this hints at a more imminent move and so the strategy suggests a quicker entry.
Bomb2 relies on the Fast, Medium and Slow MA's NOT being correctly lined up as well as the Stochastic, and therefore has the luxury of suggesting Limit orders near the local high/low.
Bomb3 looks for two or more Stochastics signals in the same direction and then performs a divergence calculation.
Bomb4 looks a change in the Stochastics signals direction and then performs a divergence calculation.
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Configuration settings:
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Users can chose to show mainly buy and/or sell signals and can select a level of strictness. Enabling strict rules will force a multi timeframe comparison of Stochastic analysis.
Users can try different levels for long and short targets for profit and stop loss. This is important because the market does not behave the same going up as it does going down.
The RSI conditional check makes the strategy more selective. This discernment can be applied to bullets or bombs in order to validate entry and exits.
During the bull run and perhaps even in ranging markets, the RSI overbought levels is usually 70-80, but in the bear market we are seeing in Crypto now, a value of 60 is more useful. Try for yourself to see what works for you and feedback in the comments.
An additional indicator, Scalper Helper Trends is recommended to get a quick view on the trend condition (rally, base, down) by viewing the MACD from multiple time frames. Further research is required to know which larger timeframes work best here.
For the 15min chart, 15m, 30m, 45m, 60m, 120m, 240m, 360m, 960m would work well. Note it is not possible to go higher than 1000 at this time.
Whether you use the Scalper Helper trends or not for your own visual confirmation, it is possible to allow this indicator to attempt to read it for you. More research is required to best model the reading of this. For now, it will simply measure the gradient of the number of up versus down colors.
The system can also find entries off the Scalper Helper Trends - but really this, by design is not the best use of Scalper Helper Trends. Although you may prove me wrong so the option is given for you to find buy/sells with your own testing.
Users can chose to use some engulfing candle arrangements to trigger exits and define the length of the 200MA and decide if this should play a part in the filtering of the signals. Similarly, a check can be made to ensure that the first two candles after a signal are behaving as we would expect with the "Wait for 2 closing in the direction of the signal" option. This has a lot of value on the 1min chart.
When Revenge trade is set to true you may re-enter a trade in the same direction as the last one when the last one was stopped out, otherwise you would only be looking for trades in the other direction. We all should not revenge trade, and indeed I have only seen a few cases when it has increased the profitability, however this option remains for now.
The flip opens a new trade in the reverse direction when a signal is given to close a trade, but does not apply to scenarios where stop losses or take profit closed the trade.
Combo Backtest 123 Reversal & RSI based on ROC This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This is the new-age indicator which is version of RSI calculated upon
the Rate-of-change indicator.
The name "Relative Strength Index" is slightly misleading as the RSI
does not compare the relative strength of two securities, but rather
the internal strength of a single security. A more appropriate name
might be "Internal Strength Index." Relative strength charts that compare
two market indices, which are often referred to as Comparative Relative Strength.
And in its turn, the Rate-of-Change ("ROC") indicator displays the difference
between the current price and the price x-time periods ago. The difference can
be displayed in either points or as a percentage. The Momentum indicator displays
the same information, but expresses it as a ratio.
WARNING:
- For purpose educate only
- This script to change bars colors.
FCMS - Time in x Timing - The Market - StudyTime in x Timing - The Market
█ DISCLAIMER
THIS IS NOT AN INVESTMENT ADVICE
The use of strategy functions doesn't compile recurring investments/contributions as used in this study, so disregard the results of the strategy tester.
As seen in the style/plots lists, I calculate the results in internal variables to analyze historical results.
prnt.sc
Anyway, this is only a historical study and past performance is no guarantee of future results
█ CONCEPTS
There is a discussion about Timing x Time in the market.
The point of this discussion is between buying in the better moment, against exposing yourself to the market as soon as possible.
Anyone who argues that the most important factor is the time exposed to the asset, no matter when, is usually based on the SP500 asset.
As shown in the image above, a hypothetical investor who made a single investment of US $ 1500.00 in December 1999, was trapped by a volatility of approximately 10% in the period, followed by a loss of around 50% in the following years. In December 2012, this investment was finally positive, and after 20 years it accumulated a gain of 180% - without reducing inflation in the period.
█ Timing the news
When an asset reaches a new historic high, the idea of "time in the market is the best strategy" gains momentum, after all, at this "moment" everyone previously exposed to the asset is making a profit, regardless of inflation or any benchmark.
█ Time in the market
Considering using this strategy, we can define 3 points for a brief analysis:
1. Asset
SPX is used as a reference for this type of statement due to the difficulty of finding another one with such consistency, liquidity, ease of access and time of history.
2. Long Term
We cannot consider it a long term strategy, as it never has a predetermined term
3. Recurring contributions.
To generate an average cost spread over periods of high and low, opening the possibility to realize positions with profit in eventual needs.
As shown in the image below, if this hypothetical investor made monthly contributions since the date of the first contributions, he would have the possibility of making profits between the period from October 2004 to September 2008, returning to the loss until October 2010, and then with a profit of 100% over the total amount invested.
Below, an example of an asset in a downtrend with the final balance returning below the total volume invested.
█ First Conclusion
> Recurring contributions (3) to an asset (1) during a downtrend will increase the loss for an indefinite period (2).
> Recurring contributions (3) to an asset (1) during an uptrend are more important than immediate exposure to the asset, regardless of the term (2).
> Recurring contributions (3) in an asset (1) in a region of possible long-term top (2), will negatively affect profitability even considering the resumption of the upward trend in an indefinite period.
█ Timing the market
As shown in the image below, following the strategy above: a single contribution in the amount of US$ 1000.00 at the worst moment (Dec / 2017), the hypothetical investor would have hold a loss of over 80%. At the moment it accumulates 89% of profit, having reached the maximum of 200% at the beginning of the year.
By making monthly contributions since the date of the first contribution, this investor would have the possibility to make profits from May 2019, accumulating 335% profit at the moment.
Adding the condition of buying the maximum cost of 10% above the average price of the last 200 days, the final result is little affected, and reduces losses in the initial investment period.
Adding the condition of taking profit of 50% of the position when the price is above the average of the last 200 days, and reinvesting 50% of the cash obtained in the next purchase opportunity (paying a maximum of 10% above the average of the last 200 days), the profit cumulative final price drops to 270%, but the realized profit already exceeds the total amount invested, which eliminates future risk of the operation. (favorable risk-return ratio)
Adding the condition to reinvest 50% of the cash flow, with the condition to buy when the price is below 20% away from the average of the last 200 days, the final result would be more than 400% of retained earnings, and realized profit in cash greater than the total amount invested.
█ Other Assets
It's possible to analyze other assets, including dividend yield and earnings for the equity formula. This way we can analyse assets more fairly.
ITSA4
BOVA11
█ Final Conclusion
> Exposing yourself early to a good opportunity may be good, but the risk of doing so at the wrong time could delay your projects indefinitely.
> Investment recurrence is the main driver for your future results.
> Setting a maximum value for making entries reduces short-term fluctuation but, in the long run, the effect is almost imperceptible.
> The realization of profits at favorable times considerably reduces the risk and volatility of the balance, in addition to providing cash for better opportunities in the short and medium term.
> Taking advantage of part of this cash flow for purchases in moments of opportunity, enhances future earnings.
Even an extremely simple strategy like the one used in the examples above, offers a better risk return for the investor compared to the immediate exposure to an asset.
Thus arises the desire to study more sophisticated strategies, as we will see in the future
█ Challenges
Time in the market
- Find good assets (1) to make recurring contributions (3) for an indeterminate period (2).
Timing the market
- Reading the markets to position yourself in favor of the more probable trends at certain times with predetermined terms.
3x SuperTrend Strategy (Mel0nTek) V1This is a triple SuperTrend based strategy for lower time frame trades such as day trades and scalping. I have not seen many strategies that combine multiple SuperTrends so I thought I would publish this one since I put it together and have been quite happy with the results. I have found through testing that the best results are on currency exchange markets such as Crypto or Forex on 1-15 min time frames.
The core idea was inspired by a youtube video put out by Trade Pro:
"Trade Pro - HIGHEST PROFIT Triple Supertrend Trading Strategy Proven 100 Trade Results"
I went ahead and set the defaults to the ones he uses in his video for anyone who wants to try a configuration similar to his. They work pretty well in general, however the EMA, SuperTrend ATR multipliers, and P/L ratio can be tuned/optimized to fit the timeframe/market desired. The video is quite good but not a required watch as I will explain below.
The 200EMA is used as a medium-term trend direction indicator.
- Price closing consistently above the 200EMA means that only long positions should be entered.
- Price closing consistently below 200EMA means that only short positions should be entered.
The 3 SuperTrend indicators should be used as direction confirmation for entries. Typically, price above SuperTrend indicates bullish movement, while price below SuperTrend indicates Bearish movement. However by itself, it is not a great indication to enter/exit positions in my experience. By combining 3 of them with slightly longer periods and increased ATR multipliers, we can get much stronger confirmation of trend direction/strength.
The way they are used in this strategy is such that:
- We only want to enter a position if at least 2 out of 3 SuperTrends are on our side.
- 3/3 SuperTrends on our side is the best case, since we are taking trades WITH momentum/price strength.
- The second farthest SuperTrend from entry price is used as a Stop Loss
SuperTrend being on our side is not the only requirement for an entry however. The probability of success is increased with SuperTrend, and a longer EMA on our side, but we want to be sure that we aren't getting in too late/after the movement has already happened.
So we use Stoch RSI to pick our entries where price is oversold/overbought and reversing. That means the Stoch RSI is above 80, or below 20, and our indication to enter the trade is when the 2 lines cross/begin reversing direction.
So with trend direction on our side, we can get really good entries at these oversold/overbought extremes, especially as it's reversing (Stoch RSI K and D are crossing). This allows us to use the SuperTrend as a support/stop loss on our entry since price should be above it.
Then we just target 1.5x our max loss so that even if we only win 50% of the time, we still make a profit.
The explicit rules of this strategy are as follows:
=== Rules ===
long only
- price above EMA200
short only
- price below EMA200
Stop Loss = 2nd SuperTrend line above (short) or below(long) entry candle
Profit = 1.5x SL/risk (Profit Ratio x Max Loss)
=== Entry Setup ===
LONG
- Stoch RSI below 20, cross up
- at least 2 SuperTrend lines below close
SHORT
- Stoch RSI above 80, cross down
- at least 2 SuperTrend lines above close
P.S. Special thanks to Trade Pro for producing so many quality videos, putting strategy claims to the test, and providing me with so many good ideas I apply to my own strategies.
DRSI DMA Scalping Strategy No RepaintThis strategy compares the slope of a Moving Average (of your choosing) to the slope of a Momentum Indicator (of your choosing). Zero is the center line because 0 slope means sideways movement. When both lines cross your buy threshold, it buys. When both lines cross your Sell threshold, it sells. The lines may look choppy, but that is probably because it is referencing a different timeframe than what the chart is set to. I left as many settings adjustable by the user as possible so you can tune this strategy to the relative behavior of whatever you are trading.
This also includes a No Repaint function so the backtest should be as close to live trading as possible.
Combo Backtest 123 Reversal & Percentage Volume Oscillator (PVO) This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Percentage Volume Oscillator (PVO) is a momentum oscillator for volume.
PVO measures the difference between two volume-based moving averages as a
percentage of the larger moving average. As with MACD and the Percentage Price
Oscillator (PPO), it is shown with a signal line, a histogram and a centerline.
PVO is positive when the shorter volume EMA is above the longer volume EMA and
negative when the shorter volume EMA is below. This indicator can be used to define
the ups and downs for volume, which can then be use to confirm or refute other signals.
Typically, a breakout or support break is validated when PVO is rising or positive.
WARNING:
- For purpose educate only
- This script to change bars colors.
Zweig Market Breadth Thrust Indicator StrategyThe Breadth Thrust Indicator is a technical indicator which determines market momentum, signaling the start of a potential new bull market.
The Breadth Thrust Indicator was developed by Martin Zweig, an American stock investor, financial analyst, and investment adviser. According to Zweig, the concept is based on the principle that the sudden change of money in the investment markets elevates stocks and signals increased liquidity. In other words, this indicator is all about how quickly the NYSE's advancing and declining numbers go from poor to great in a compressed time period.
A "Thrust" indicates that the stock market has rapidly changed from an oversold condition to one of strength, but has not yet become overbought. This is very rare and has happened only a few times. Dr . Zweig also points out that most bull markets begin with a Breadth Thrust.
More info can be found at www.investopedia.com
I have inspired by indicator introduced in TradingView by LazyBear and adopted the logic from there. Thanks LazyBear !!!
Though indicator signals the new Bull market, but I have not found much information how to use it in daily market. So I had come up with a strategy, which would allow us to trade SPY, QQQ , AMEX and securities under these markets.
I have used MA setting as 65 (since Zweig indicator setting was 10 days , based on that I set 65 for Hourly chart ... 10d x 6.5 Hrs = 65 in my startegy). You have to change this setting if you change the timeframe. Also , note that this strategy is for Stock Market only.
Strategy Rule/Settings
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Select the market type based on your security symbol.
SPY => use NYSE
QQQ => use NASDAQ
any other security => check exchange it was listed and select the corresponding market.
if you dont know , use COMBINED option
BUY
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when indicator cross 0.40 from below
Note:
1. see how well it picks the bottoms ... example : Nov 2020 ....
2. setting 0.45 is also produces good results , only thing is you get more signals.
EXIT
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Exit when indicator cross down from 0.60 . I have used RSI (5) for partial exits. These two are available in settings
Close the whole position when indicator crossing down 0.40
STOP LOSS
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defaulted to 5%
Please Note , I have tested SPY , QQQ on Horly chart with MA 65. You need to chnage the MA setting based on your time frame and check the results.
WARNING
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For the use of educational purposes only
Dankland Playground DCAing multi-strategy OPThis is essentially a script that I made for myself before deciding it may be good enough for you all as well.
How it works basically is this... you have 18 oscillators which can all be used as independently as you wish. That means there are 20 groups which they can be split amongst as you choose.
When in separate groups they should not be able to sell eachothers positions without triggering a stop loss. Every single oscillator has its own position sizing and exit sizing which can be stated as either a percent of balance or a flat amount of contracts. Each oscillator has a minimum amount of profit you can tell it to sell it, which is calculated from the average cost of your current position, which does include all groups. This works out to help you average out better entry and exit prices, essentially a method of DCAing.
You can set the minimum sale amount, which is to keep it from placing orders below your exchanges minimum dollar trade cost.
The included oscillators are as follows:
Chande Momentum cross
Moving Average Cross
MACD cross
%B Bollinger cross
Stochastic cross + region filter
Stochastic RSI cross + region filter
SMII cross and region
Three RMIs
Standard RSI
LSMA-smoothed RSI
Know Sure Thing
RSI of KST
Coppock Curve
RSI of Curve
PPO
RSI of PPO
Trix
RSI of Trix
So the idea is that this is essentially multiple strategies combined into one backtestable house. Balance is calculated for all position sizes in order to try to prevent false entries that plague so many scripts (IE, you set pyramiding to 2, each buy $1000, initial balance $1000, and yet it buys two orders off the bat for $2000 total and nets 400% profit because the second was considered free)/
You tune each side and position size them so that they work together as well as you can and in doing so you are able to create a single backtest that is capable of running a bot, essentially, between multiple strategies - you can run a slower Moving Average cross, a faster SMI cross or MACD, or Bollinger that grabs big moves only, all the while having MACD trade small bonuses along the way. This way you can weight the Risk to Reward of each against eachother.
I will not try to claim this is something you can open and with no work have the best bot on the planet. This scripts intention is to take a lot of relatively common trading strategies and combine them under on roof with some risk management and the ability to weigh each against eachother.
If you are looking for a super advanced singular algorithm that tries to capture every peak and valley exactly on the dot, this is not for you. If you are looking for a tool with a high level of customizability, with a publisher who intends to update it to the best of his ability in accordance to seeking to make the best product that I personally can make for both myself and the community (because I will be using this myself of course!) that was specifically designed with the intention of performing well in spot markets by averaging low entry costs and high exit costs, this is for you! That is the exact intention here.
I do not trade margin currently, I trade spot. I am sure this script can be tuned to work on margin but this is not my intention or area so if this is you and there is something you need for margin specifically implemented, ask, because I likely don't know what you need yet.
The current backtest shown is hand-optimized by myself for BTC/USD 1hr market with NO stop loss enabled and all sales weighed to be around 0% minimum profit from the total average entry cost.
I chose to run it myself with no stop losses because Bitcoin is so bullish to me. The stop losses can still be very profitable, but not 1495% net profit. This style of automation is not for everyone as when running with no stop loss and the requirement every sale is somewhat profitable, or at least no very noticeable loss, you wind up relying on yourself to manually stop out if things crash too much and the bot has to stop trading to wait for market to go back up. The thing to do here if you are playing without a stop loss is to have your own alerts set at your fear level, a % drop in a period of time or something like that, and when you reach that point I would consider resetting the bot so it continues to take trades. I personally will accept a temporary drop in USD as long as I can keep my BTC holdings up overall as the goal should always be to have as many BTC as possible by the start and end of the bull run.
Companion::InsurgentCompanion::Insurgent is a combined indicators strategy. Performances are pretty good on 1D, 4H and 1H timeframes and it can be used on Bitcoin and Altcoin markets.
Mainly, it is a trategy based on Ehlers formulas.
Used indicators:
- Ehlers Instantaneous Trend: trendline analysis;
- Ehlers Super Bandpass Filter: momentum detection;
- EMA: Long/Short time selector.
What the script does:
- determines trendlines combining mulitple indicators;
- automaticlally calculates Take profit and Stop Loss levels;
- permits automation generating Autoview signals (create an alert with {{strategy.order.alert_message}} in message text field to trap Autoview commands;
- supports for margin trading. Spot trading will be added in the future.
BACKTESTING
Backtest is not leveraged. Defaults are set as follow:
Capital: 10000
Percent of equity used for trades: 10%
Commission: 0.18% this is Bitfinex commission on orders
Change them accordingly on how you trade to get a more realistic backtest results.
Smoothed Trend Wave (Strategy)
This is a the Final version of Smooth Trend Wave
* Average Trend is show
* Calculation of different period of moving average
* Candlestick Pattern
* Background color is based on candle color.
Use Strategy Format to show back-test result. When I create this indicator is based on daily chart. (lower timeframe, result might be different)
7 type of strategy (can be select)
Strategy 1 & 2 : long/short according the trend
Strategy 3 & 4 : long/short according retracement in same trend
Strategy 5 & 6 : long/short bet for rebound
Strategy 7 : potential buying point (low chance happens)
Example of back-testing is use crypto between 1-1-2019 to 30-7-2020 (after JULY is a bullish momentum will causing *repaint" of strategy result)
* Strategy is set initial equity of 10000usd
* Each order is only 30% of equity, to make risk management
* Maximum 5 order is allow in strategy
Kindly PM or comment below if you have any question.
DD_ScalpDD_Scalp is a buy/sell trading strategy based on momentum from breakout levels. It works well on 1D and 4H timeframes. It is a helpful indicator for scalping short range profits on a daily basis or for booking profits in a high time frame setups such as those given by my DD_Echo indicator. It works for all major cryptos such as BTC, ETH, LINK, and other alts. It also works for forex.
If you want to access this, please DM me.
Combo Backtest 123 Reversal & Inertia Strategy This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The inertia indicator measures the market, stock or currency pair momentum and
trend by measuring the security smoothed RVI (Relative Volatility Index).
The RVI is a technical indicator that estimates the general direction of the
volatility of an asset.
The inertia indicator returns a value that is comprised between 0 and 100.
Positive inertia occurs when the indicator value is higher than 50. As long as
the inertia value is above 50, the long-term trend of the security is up. The inertia
is negative when its value is lower than 50, in this case the long-term trend is
down and should stay down if the inertia stays below 50.
WARNING:
- For purpose educate only
- This script to change bars colors.
RSI 75/25 SignalThis momentum-based script prints long and short signals according to the 14 candle RSI average. When it crosses over 75, the market is bullish and as such, a trader should look for long based trades. When it crosses under 25, a trader should focus on shorts. This indicator works best on high timeframes such as 4hour and 1day.
