Linear Channel - Scalp Strategy 15MSimple way how to use Linear Regression for trading.
What we use:
• Linear Regression
• HMA as a trend filter
Logic:
Firstly we make simple linear regression moving. It is the white line which appears on the chart.
Then we make second line (named: band2) on the chart by multiplying linreg and value difference.
The third step is to ad HMA as a trend filter.
The trade open when price is below band2, but still upper than Hullma. The trade close when price again upper than linreg.
Scalping
5min MACD scalp by JoelThis strategy is inspired by a youtuber called Joel on Crypto. He trades this using Ema, MACD indicators and his own experience. For more information, check out his Best Crypto Scalping Strategy for the 5 Min Time Frame video. I have tried to automate this a little.
Long or Short trades are determined with a crossing of the fast Ema over the slow Ema for Long and the opposite for Short. Trades should only happen close to the crossovers. Then for Long we use the MACD indicator with a 1min TF (I had better results using the 5min) where we look for high peaks in negative values for Long and vice versa for Shorts. These should be significantly higher than other peaks (or if you will lower peaks for a Long).
Hence, the key is to detect high peaks on the histogram, which I try to achieve by checking if the last 2 values were higher than X bars back. If you want to make it even more specific, then you can turn on the additional checkbox which compares the current value to the average value of X bars back, and if it is greater than, say, 50% the value of the average (= 1.5x the average), then it's ok for the trade.
I also noticed that the strategy often bought at the top or bottom, so I added a check that compares whether the last evaluated bar is the first rising bar (for Long) or falling bar (for Short). This can be turned on or off.
Target profit 0,5% and stop loss 0,4% are based on his recommendation. The strategy is set to take only 1 trade at a time , and you can have a back tester table on.
I'm still a pine script beginner, so the strategy is certainly not perfect and could be improved. If you have any tips on how to improve it further, please let me know. I will try to update it when I have time.
I would also like to thank Joel on Crypto for sharing the strategy and @ZenAndTheArtOfTrading for his great library and code (thanks to him we have a back tester table in here), but especially his educational videos on youtube, which taught me a lot about pine script.
Tendency EMA + RSI [Alorse]A very simple and highly effective strategy LONG & SHORT that combines only 2 indicators:
RSI
3 Moving Average Exponential (EMA)
LONG Entry conditions are:
EMA 20 cross over EMA 10
EMA 10 is above EMA 100
LONG Exit conditions are:
RSI greater than 70
Or when X number of candles have passed and the trade is in profit. (Check Settings)
SHORT Entry conditions are:
EMA 20 cross under EMA 10
EMA 10 is below EMA 100
SHORT Exit conditions are:
RSI is less than 30
Or when X number of candles have passed and the trade is in profit. (Check Settings)
Swing/Scalper HULL + T3 avg Crypto StrategyThis is a both a swing and a scalper strategy(depends on the timeframe that you use), that works with all timeframes, however I noticed that with swing 3h works the best on most crypto pairs, such as ETH, BTC and so on.
Its main components are:
Hull moving average
T3 moving average
Risk management
With them I make an average and use it as the main moving average.
Rules for entry
For long: Average moving average is bigger than previous average moving average value.
For short:Average moving average is lower than previous average moving average value.
Rules for exit
We exit when either the TP/SL has been hit, or when we get a different condition than previous one(both for long and short).
If you have any questions, let me know !
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.
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.
Momentum Strategy (BTC/USDT; 1h) - MACD (with source code)Good morning traders.
It's been a while from my last publication of a strategy and today I want to share with you this small piece of script that showed quite interesting result across bitcoin and other altcoins.
The macd indicator is an indicator built on the difference between a fast moving average and a slow moving average: this difference is generally plottted with a blue line while the orange line is simply a moving average computed on this difference.
Usually this indicator is used in technical analysis for getting signals of buy and sell respectively when the macd crosses above or under its moving average: it means that the distance of the fast moving average (the most responsive one) from the slower one is getting lower than what it-used-to-be in the period considered: this could anticipate a cross of the two moving averages and you want to anticipate this potential trend reversal by opening a long position
Of course the workflow is specularly the same for opening short positions (or closing long positions)
What this strategy does is simply considering the moving average computed on macd and applying a linear regression on it: in this way, even though the signal can be sligthly delayed, you reduce noise plotting a smooth curve.
Then, it simply checks the maximums and the minimums of this curve detecting whenever the changes of the values start to be negative or positive, so it opens a short position (closes long) on the maximum on this curve and it opens a long position (closes short) on the minimum.
Of course, I set an option for using this strategy in a conventional way working on the crosses between macd and its moving average. Alternatively you can use this workflow if you prefer.
In conclusion, you can use a tons of moving averages: I made a function in pine in order to allw you to use any moving average you want for the two moving averages on which the macd is based or for the moving average computed on the macd
PLEASE, BE AWARE THAT THIS TRADING STRATEGY DOES NOT GUARANTEE ANY KIND OF SUCCESS IN ADVANCE. YOU ARE THE ONE AND ONLY RESPONSIBLE OF YOUR OWN DECISIONS, I DON'T TAKE ANY RESPONSIBILITY ASSOCIATED WITH THEM. IF YOU RUN THIS STRATEGY YOU ACCEPT THE POSSIBILITY OF LOOSING MONEY, ALL OF MY PUBBLICATIONS ARE SUPPOSED TO BE JUST FOR EDUCATIONAL PURPOSES.
IT IS AT YOUR OWN RISK WHETHER TO USE IT OR NOT
But if you make money out of this, please consider to buy me a beer 😜
Happy Trading!
Bollinger Band with RSI
Using combination bollinger band and RSI indicator as guide to predict price volatility and the best entry point. The strategy logic is pretty straightforward where we're interested with close price that touches the lower bollinger band ; there are only two scenarios that will happened after the price reaches the lower band; the price might rebound from the lower bollinger band or drop lower and continue downtrend. To confirm the price movement, we use a second indicator which is the RSI to further investigate the price trend. For example, if the price reaches the lower bollinger band but the RSI value is not in the oversold region, we can conclude that the price will go lower and continue downtrend. If the RSI value is in the oversold region, we can use this price area as our entry point.
Stop loss is necessary to avoid losing too much capital if the RSI value lingers too long in the oversold region.
Best take profit area is when the price rebound above the middle bollinger band area/upper bollinger band or when the RSI reaches overbought region; whichever comes first.
Long entry:
RSI < 30 & close price < lower bollinger band
Exit entry:
RSI > 70
Default stop loss: -25%
Scalping using RSI 2 indicator with TSLThis strategy implements a simply scalping using the RSI (calculated on two periods), the slopes of two MAs ( EMA or SMA ) having different lengths (by default, I use 50 and 200).
A trailing stop loss (%) is used.
Entry conditions:
.) Fast MA > Slow MA and Price > Slow MA and RSI < Oversold Threshold ------> go Long
.) Fast MA < Slow MA and Price < Slow MA and RSI > Overbought Threshold ------> go Short
Exit conditions:
.) Long entry condition is true and (close >= TP or close <= TSL ) ----> close short position
.) Short entry condition is true and (close <= TP or close >= TSL ) ----> close long position
The strategy performed best on Bitcoin and the most liquid and capitalized Altcoins but works excellent on volatile assets, mainly if they often go trending.
Works best on 3h - 4h time frame.
There's also an optional Volatility filter, which opens the position only if the difference between the two slopes is more than a specific value, which can be set in the study inputs. The purpose is not opening positions if the price goes sideways and the noise is way > than the signal.
Note:
.) the RSI length is 2;
.) the oversold Threshold is 90%;
.) the overbought Threshold is 10%;
.) by default, the trailing stop loss per cent is 1%;
.) by default, the fast MA length is 50;
.) by default, the slow MA length is 200;
.) by default, the MA used is EMA.
Cheers.
scalping against trapped countertrendAbstract
This script attempts to find the end of countertrend.
This script uses oscillators to measure long term and short period trends. When the long term trend keeps positive and clear short term period is over, this script provides a buy signal.
This script does not contain pullback, cut loss and re-enter. You need to add it manually.
Introduction
Many traders want to buy when long term trend is bullish and short term pullback is over.
This is because we can take advantage to the emotion of countertrend traders.
Countertrend traders realizes their profit is finite and therefore want to protect their profit well and limit their loss.
This script is inspired by a searchable trading strategy video.
The video mentioned 4 points.
(1) long term trend. The video did not spend much ink on this point. You can use any method to observe.
(2) clear pullback bar (at least 50% body)
(3) weak bar after clear pullback
(4) entry trigger buy stop
This script attempts to quantize these points to determine trading direction.
This script is originally designed for timeframes lower than examples in the video but you can apply it on any timeframe.
Computing and Adjusting
(1) long term trend
This script uses smoothed stochastic.
(2) clear pullback bar
Since this script is originally designed for timeframes lower than examples in the video, so the condition becomes:
RSI is low enough
(3) weak bar after clear pullback
RSI goes back from low level.
(4) entry trigger buy stop
This script does not include this condition.
You can decide enter when buy stop or pullback.
Parameters
x_src : the value for computing oscillators
x_len_a : how many bars for measuring short term trend
x_len_b : how many bars for measuring long term trend
x_k_b : smooth long term trend, the average value of stochastic values
x_changk = check if clear short term pullback appears recently. 1 means do not use, larger numbers means how long of periods to check.
x_rsi_ct : threshold of short term pullback clear
x_rsi_ft : threshold of short term pullback end
Reading numbers in Strategy Tester
Most possible loss :
(1) to find rational pullback. Generally 1/3 to 2/3 atr.
(2) to find cut loss distance. Generally 1 to 2 atr.
Most possible profit :
to find if trading the opposite direction against this script is profitable.
Conclusion
This script can suggest us trading direction.
Waiting for pullback can reduce risk, compared to buy stop.
This script does not provide good signals in sideways markets.
Reference
A searchable trading strategy video
Triple EMA Scalper low lag stratHi all,
This strategy is based on the Amazing scalper for majors with risk management by SoftKill21
The change is in lines 11-20 where the sma's are replaced with Triple ema's to
lower the lag.
The original author is SoftKill21. His explanation is repeated below:
Best suited for 1M time frame and majors currency pairs.
Note that I tried it at 3M time frame.
Its made of :
Ema ( exponential moving average ) , long period 25
Ema ( exponential moving average ) Predictive, long period 50,
Ema ( exponential moving average ) Predictive, long period 100
Risk management , risking % of equity per trade using stop loss and take profits levels.
Long Entry:
When the Ema 25 cross up through the 50 Ema and 100 EMA . and we are in london or new york session( very important the session, imagine if we have only american or european currencies, its best to test it)
Short Entry:
When the Ema 25 cross down through the 50 Ema and 100 EMA , and we are in london or new york session( very important the session, imagine if we have only american or european currencies, its best to test it)
Exit:
TargetPrice: 5-10 pips
Stop loss: 9-12 pips
Amazing scalper for majors with risk managementHello,
Today I am glad to bring you an amazing simple and efficient scalper strategy.
Best suited for 1M time frame and majors currency pairs.
Its made of :
Ema (exponential moving average) , long period 25
Ema(exponential moving average) Predictive, long period 50,
Ema(exponential moving average) Predictive, long period 100
Risk management , risking % of equity per trade using stop loss and take profits levels.
Long Entry:
When the Ema 25 cross up through the 50 Ema and 100 EMA. and we are in london or new york session( very important the session, imagine if we have only american or european currencies, its best to test it)
Short Entry:
When the Ema 25 cross down through the 50 Ema and 100 EMA, and we are in london or new york session( very important the session, imagine if we have only american or european currencies, its best to test it)
Exit:
TargetPrice: 5-10 pips
Stop loss: 9-12 pips
Hope you enjoy it :)
Full strategy AllinOne with risk management MACD RSI PSAR ATR MAHey, I am glad to present you one of the strategies where I put a lot of time in it.
This strategy can be adapted to all type of timecharts like scalping, daytrading or swing.
The context is the next one :
First we have the ATR to calculate our TP/SL points. At the same time we have another rule once we enter(we enter based on % risk from total equity, in this example 1%, at the same time, lowest ammount for this example is 0.1 lots, but can be modified to 0.01), so we can exit both by tp/sl points, or by losing 1% of our equity or winning 1% of our total equity. It's dinamic.
The strategy is made from
Trend direction :
PSAR
First confirmation point :
Crossover between 10EMA and Bollinger bands middle point
Second confirmation
MACD histogram
Third confirmation
RSI overbought/oversold levels
For entries : we check trend with psar, then once ema cross bb middle point, we confirm together with rsi level for overbought/oversold and macd histogram ( > 0 or <0).
We exit, when we have opposite sign, like from buy to sell or sell to buy, or when we reach tp/sl points, or when we reach % basaed equity points.
It can be changed to be fixed lots, or fixed tp/sl , you just have to uncomment the size from entries, and tp/sl lines.
At the same time, it has the possibility if one desires, to trade only concrete forex session like european, asian and so on for intraday trading.
Hope you enjoy it.
Let me know how it goes.
Candle checker for long/short for scalping/day tradingHey.
This strategy is still in working.
For it I check a x amount of candles in the past if they been for example all red/green in row, and based on that I enter. For example candle 7 < candle 6 .... candle 3 < candle 2 .... candle 1 < candle current for long and viceversa for short.
After that,once the trade is initiated, I exit based on 2 possibilities : candle color is different than the color of candle when entry, or based tp/sl.
Let me know what you think of it.
I will try to make the process to calculate automatically and input the number of candles to check like 5-10-15 and so on.
Ehlers Bandpass FilterThis script uses @cheatcountry script to determine Ehlers Bandpass Filter.
Backtest offers 3 capital management tools. One that will always calculate order size as initial capital/close, one that uses the same calculation but adds or substracts profit. The last one allows you to enter manually the size you want to trade.
The time-based stop will close the position after a set number of bars.
eha Moving Averages StrategyMoving Average based strategies are very popular ones among both long-term investors and short-term traders as they can be tailored to any time frame. One of the main moving average strategies are crossovers. The very simple type is a price crossover , which is when the price crosses above or below a moving average to signal a potential change in trend.
Another strategy is to apply two moving averages to a chart: one longer (or slow) and one shorter (or fast). When the shorter-term MA crosses above the longer-term MA, it's a buy signal, as it indicates that the trend is shifting up (also known as “ Golden Cross ”). Meanwhile, when the shorter-term MA crosses below the longer-term MA, it's a sell signal, as it indicates that the trend is shifting down (which is also known as “ Dead/Death Cross ”).
This is a study to find a suitable trading strategy for 4-6 hour time frames. As you can see the performance is currently very poor. It has just generated almost 90 trades in a very long period from January 2017 to the time of publishing the study for the first time.
Moving averages work quite well in strong trending conditions but poorly in choppy or ranging conditions. Adjusting the time frame can correct this problem temporarily, although, at some point, these issues are likely to occur regardless of the time frame chosen for the moving average(s).
I am working on this basic strategy to make its performance better and I will update the post in the future. So keep in touch by following the post.
Why have I republished my study?
It sounds like TradingView stores and indexes scripts based on the title of the post rather than the actual title of the scripts and if one chose general terms as the title of the post, the TradingView script search engine may be unable to find it. So I decided to repost the strategy with a more searchable and unique prefix of " eha ".
Please provide me with your precious feedback.
Scalping with Bill Williams AlligatorScalping strategy based on Bill Williams Alligator technique but calculated with heikin ashi candles.
This strategy has to be applied to standard candles and low time frames (1min to 5min)
Thanks to all pinescripters mentined in the code for their snippets.
It could be improved with stop loss based on ATR etc.
I have also a study with alerts.
Please use comment section for any feedback or contact me if you need support.
T3+SMA This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
© 03.freeman
This strategy is based only on T3 moving average, but uses sma 200 as filter for enter long or short.
The default settings considers a daily timeframe.
The strategy is very simple: long if T3 increase, short if T3 decrease.
Note that if you set volume factor to 0 you will have an exponential moving average, while if you set to 1 you'll get a DEMA.
Expert studio strategy 1 - GBPUSDThis is part of a series of strategies developed automatically by a online software.
I cannot share the site url, which is not related to me in any way, because it is against the TV reules.
This strategy was optimized for GBPUSD, timeframe 1D, fixed lots 0.1, initial balance 1000€.
LOGIC:
- LONG ENTRY when previous candle is bear
- LONG EXIT: RVI > signal line
- SHORT ENTRY when previous candle is bull
- SHORT EXIT: RVI < signal line
NOTE: I considered the open of actual candle instead of close otherwise there will be a back shift of 1 candle in pine script
Take profit = no
Stop loss = no
I have also a study with alarms.
Please use comment section for any feedback.
Extreme ScalpingThis is a test of an easy scalping method: buy if actual close is below forecast close and sell if actual close is above forecast close. Take profit and stop loss shall be very small (few pips) as in most of scalping strategies.
No filter is used for only long or only short positions, but you can select buy only or sell only based on other indicators or whatever you feel is the direction of trading.
NOTE: you can add this strategy to your chart but you should modify the backtest day otherwise you will get an error due to calculation limits of pine script. For example, on one minute chart, you should set the backtest day from today only. For past days, set both start day and and day.
I have also a study with alarms.
Please use comment section for any feedback.
Fisher Transform Multi-Timeframe (Backtest)This is the Backtest Strategy for mortdiggiddy's "Fisher Transform Multi-Timeframe"
For more details check his study:
Adaptive Zero Lag EMA v2This is my most successful strategy to date! Please enjoy and join the Open Source movement by sharing your code and ideas online!
OPERATING PRINCIPLE
The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes.
In fact, I'm using his Zero Lag EMA (ZLEMA) as a baseline indicator as well as some code snippets he has made public (1). God bless open source!
Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2)
I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy.
The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5)
BEFORE WE BEGIN
1. This strategy only runs on "normal" FX pairs (EURUSD, GBPJPY, AUDUSD ...) and will fail on Metals or Commodities.
Cryptos are largely untested.
2. Please run it on these time frames: M15 to D.
Anything outside this range will likely fail.
HOW TO USE AND SUCCEED
1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01.
2. Test each setting under adaptive method . If you want to leave it Off , then I'd recommend using some kind of IFM (see my links below) to
discover the most efficient period to use.
3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor (PF) and drawdown.
4. Now, begin incrementing threshold . The goal is to have PF above 2 and a drawdown as low as possible.
5. Finally, change the source ! Typically, close is the best option, but I have run into cases where high
yielded the highest returns and win rate.
6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts.
ADVANCED
You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor
results if the TP is set to 300 and SL is 50.
If you are trading a pair that has a long Dominant Cycle Period , then you may increase Max Period to allow the IFM
to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time!
Cheers and good luck trading!
-DasanC
PS - This code doesn't repaint or have future-leak, which was present in Pinescript v2.
PPS - Believe me! These returns are typical! Sometimes you must push aside the "if it's too good to be true..." mindset that society has ingrained in you.
Do you really believe the most successful pass up opportunities before investigating them? ;)
(1) Ehlers & Ric Zero Lag EMA
(2) Measuring Cycles by Ehlers
(3) Cosine IFM
(4) Inphase Quadrature IFM
(5) Averaging IFM
Breakout Scalper (Session)This is a twist on my on my Breakout Scalper strategy that limits trading to a user-configurable session
Find the original "Continuous" version of the scalper here:
The breakout scalper is based on "slow" and "fast" donchian periods. In this version, the "slow" donchian is in fact the Day's high/low. This important difference means that we will always be entering our trades at the day's high or low, so you are exposed to the price making new highs/lows but not to oscillations within the day's range.
Furthermore, the scalper is modified to only enter trades after the start of the user-configured session. Any open trades are closed at the end of the user-configured session. The default session is set to 10:00 AM to 3:30 PM because that's when I like to trade.
