Swing Trades Validator - The One TraderThis swing trading strategy validator is built on the original strategy taught in my bootcamp for swing traders.
The strategy is simple and follows a trend trading pattern on prices reacting to Exponential Moving Averages over a multiple time-frame analysis.
The details of the strategy are as follows:
- Holding Period : Upto a couple of months
- Time-frames to be analysed : Month - Week - Day
- Trade Execution : Daily Time-frame
Analysis Details:
Step 1 : On the Monthly time-frame, the candle needs to be bullish with the latest close being higher than the opening price of the month.
Step 2 : The price needs to be above the 8ema on the Monthly time-frame.
Step 3 : The 8ema must be above the 20ema on the Monthly time-frame.
The above steps indicate a bullish strength in the instrument on the Monthly time-frame.
Step 4 : On the Weekly time-frame, the candle needs to be bullish with the latest close being higher than the opening price of the week.
Step 5 : The price needs to be above the 8ema on the Weekly time-frame.
Step 6 : The 8ema must be above the 20ema on the Weekly time-frame.
The above steps indicate a bullish strength in the instrument on the Weekly time-frame.
Step 7 : On the Daily time-frame, the candle needs to be bullish with the latest close being higher than the opening price of the day.
Step 8 : The price needs to be above the 8ema on the Daily time-frame.
Step 9 : The 8ema must be above the 20ema on the Daily time-frame.
The above steps indicate a bullish strength in the instrument on the Daily time-frame.
Step 10 : While the 8ema is above the 20ema on the Daily time-frame, the price must be allowed to rise before a pullback is seen towards the moving averages, indicating a bearish move trying to change the trend.
Step 11 : These pullback candles need to form a pattern called the Ring Low with the second pullback candle having a lower high and lower low and the low of the last pullback candle being lesser than or equal to the fat ema on the Daily time-frame.
Step 12 : If the stock is still bullish and the trend is displaying a strength in the underlying bullish direction, then there will be a resumption candle that will have a closing price higher than the previous day's high price.
This trend continuation signal is a confirmation that the instrument will continue in the underlying trend direction and we will be able to enter if this condition is satisfied.
The profit and loss percentages are set at a default 10% as this can be a minimum risk : reward for swing trades on average, but the inputs have been made available to the users in order to adjust the risk : reward to find the most optimum breathing room for each individual stock or instrument. This will give the user a highly custom overview of the strategy on individual instruments based on their volatility and price movements.
The strategy tester will auto back-test this strategy historically and find all the trades that were taken based on this strategy and populate a performance summary.
The most important data in V1.0 of this script are as follows:
1. No. of Trades Taken : We want to see many trades being taken on this strategy in that particular instrument. This shows us a healthy report on the number of winning vs. losing trades.
2. Percentage Profitable : We want to see that this strategy has worked out in the past and is giving us a high probability of return. This in no way an indication that the strategy will definitely work out in the future as well, but gives us an idea of whether or not we should enter this trade.
3. No. of Winning Trades vs. Losing Trades : We would like to see a significantly higher number of winning trades.
4. Avg. # of bars in a trade : This gives us an idea of how long on average we might have to wait to see the results of this strategy either in favor of our reward or against our desired direction. Some trades can be completed in around 15-20 bars on average and some trades have shown to take upto 45 days to reach desired reward. This is in line with our planned holding period, but gives the trader a sense of time and increased level of patience.
The future updates will have more utility of the various elements of the strategy tester and the entire exit strategy will be integrated into the script.
This script is not to be used as a standalone method and must be studied well in order to execute trades. I have not hidden visibility on other time-frames, but since order execution is done on the Daily time-frame, the script must run on the Daily time-frame only.
There are many other factors to be taken into consideration before entering a trade and proper risk management and position sizing rules must be followed.
Our bootcamp participants will use this strategy tester in conjunction with the invite-only Trading Toolkit assigned to them.
The development of this script will be ongoing and all comments and feedback are welcome.
Trend Analysis
Combo 2/20 EMA & 3 Day Pattern 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
This startegy based on 3-day pattern reversal described in "Are Three-Bar
Patterns Reliable For Stocks" article by Thomas Bulkowski, presented in
January,2000 issue of Stocks&Commodities magazine.
That pattern conforms to the following rules:
- It uses daily prices, not intraday or weekly prices;
- The middle day of the three-day pattern has the lowest low of the three days, with no ties allowed;
- The last day must have a close above the prior day's high, with no ties allowed;
- Each day must have a nonzero trading range.
WARNING:
- For purpose educate only
- This script to change bars colors.
P-Signal Strategy RVS.For Christmas and New Year,
for P-Signal users - the PINE code of a reverse (trigger) strategy!
Strategy parameters.
==================
1. Cardinality – the number of points (from 4 to 200) that make up a set of elementary events (bar). This is the main parameter that determines success.
2. |ΔErf| - a size of the Δ region (from 0 to 1) of the error integral near zero. Helps save on commissions.
3. Observation time – the deputy speaks for himself.
NB: In the strategy, process_orders_on_close = true, order executes after a bar closes and strategy calculations are completed. Also Barstate.isconfirmed, i.e. the script is calculating the last (closing) update of the current bar.
Usage advice.
============
Set your exchange commission (0.2% by default). Start your search by increasing the parameter Cardinality. If in the Performance Summary two parameters Net Profit and Commission Paid are of the same sign and order, you are in luck, you have found a suitable probabilistic space. Further, you can reduce the losses from the commission using the parameter |ΔErf|.
Do not forget to publish the idea, for example: P-Signal Strategy RVS: BTCUSDT 1h (16, 0.05).
Note.
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P-signal is theoretical. It works in a probabilistic space endowed with energy (entropy).
[mdeacey] EMA% Channel + BB Range StrategyThis strategy is based off the users selection of an EMA and percentage defined channel. The strategy longs when a red "reversal candle" (that exceeds the averages of 3 and 9 above the EMA 3) is found until such time that either the price goes outside the Bollinger Band or the green reversal candle is found. The same but opposite process for shorts. If the price begins trending and moves outside the channel all trades are exited to prevent loss.
For trending markets the sister strategy (" EMA% Channel + Bollinger Band Trending Strategy") should instead be used.
The obvious fallback to this strategy is that:
- If the bands are too wide we don't have a good definition of trending vs ranging and the price can move up/down significantly and trend whilst remaining within the ranging channel. We try to mitigate this through use of a stoploss defined by ATR and a pretty tight channel. This is a tightrope exercise as making the percentage channels tighter misses earlier entries in optimal cases. Change the parameters to find an EMA and percentages to find the best R/R in your case.
Potential further iteration:
- It would be good to see if the R/R changes positively if we only allow shorts above the EMA and longs below it.
All options are configurable and code open source. Happy trading!
[mdeacey] EMA% Channel + Bollinger Band Trending StrategyThis strategy is based off the users selection of an EMA and percentage defined middle, upper and lower channels. The strategy longs if the price crosses the middle to upper channel until such time that a "reversal candle" (that exceeds the averages of 3 and 9 above the EMA 3) is found – and then shorts that reversal candle in the hope the price will change state from trending to ranging and move back to the middle channel. The same but opposite process for shorts.
The two obvious fallbacks to this strategy are that:
- Once trending the price can continue upwards. We try to mitigate this through use of a stoploss defined by ATR.
- Certain percentage thresholds can trigger a long/short with not much room to move before coming back to the middle channel. This is a tightrope exercise as making the percentage channels tighter misses earlier entries in more optimal cases. Change the parameters to find an EMA and percentages to find the best R/R.
All options are configurable and code open source. Happy trading!
Super Auto Breakout Day Trade Volatile stocksThis strategy is looking at MA and distance from MA to determine entry and exit for highly volatile day trade stocks.
This trading strategy is not good for big-cap stocks as the movement there is not much in terms of %.
The target for open trade is to close at a 10% gain or at 2.8% loss which is a good risk to reward ratio.
Intraday Grid trading exampleHello everyone,
This was a grid trading example for intraday trading.
Please be advised that every commodity have diferent kind of reaction and rate of change between periods therefore the percentages need to be adjusted acording to the commodities change %.
In order to specify the adjustment rate we add the Zig Zag in the script.
For Example ;
Last 3 days zigzag high points are %25 , %13 and %8 , the average %is about %9 therefore you have to put the adjustment ratios something like;
Z%1 = %3
Z%2 = %6
Z%3 = %9
Feel free to use the script with caution( it was not a investment advice), this was only a example of grid trading strategy on our trading platform.
Regards.
Brrrrr strategyTheory
When Tether prints new USDT the price of BTC rises.
When Tether burns USDT the price of BTC goes down.
Idea
Open a long position when Tether starts printing new USDT.
Close a long position when Tether begins to burn USDT.
Optional: open a short position.
(Short positions can be disabled in this script's settings.)
Donchian Channel
USDT changes frequently and almost every day. Therefore it is necessary to reduce the number of signals. This way there will be less false loss signals. The Donchian channel is well suited for this task.
If the amount of USDT has exceeded the maximum for the last 50 days, it is a signal to open a long position.
If the amount of USDT has become less than the minimum over the last 50 days, it is a signal to close a long position. Or to open a short position.
The number of days can be changed in the settings of this script.
Data
The data is only available for 1-day timeframe. The data provider is Glassnode.
For
Only for BTC /USD (or BTC /USDT, BTC/USDC , etc)
For 1 day timeframe only
Portfolio Performance - 2 AssetsFunction:
- Can be used to evaluate the performance of portfolios containing 2 assets over a set time interval
- Created to evaluate of the performance of portfolios containing different weightings of stocks and bonds over time
- Shows the % return of each portfolio over the time interval defined by the user
- Capable of showing the risk adjusted % return of each portfolio over the time interval defined by the user (setting turned off by default)
Instructions:
- To be used with dividends adjustments turned on
- Add this script to a symbol. e.g. NASDAQ:BND
- Click the chart to define the entry time and the exit time. i.e. the time interval
- Define the second asset to be included in the portfolio. e.g. AMEX:VOO
- The strategy comes pre-populated with 6 portfolios with the most common stock/bond weightings (100% stocks/0% bonds, 80% stocks/20% bonds, 60% stocks/40% bonds, et cetera)
- The 6 lines show the weighted % return of each portfolio over the time period defined by the user
- All asset weights are adjustable via the settings
- Each plot can be turned on and turned off via a tick box in the settings
- There are 6 plots that show the risk adjusted returns of each portfolio (setting turned off by default)
ROCKET_EWOSimple flag system strategy based on EMA cross overs, and standard deviation.
Converted from pine script v3
ms hypersupertrendThis is a well-known strategy by using 3 different Supertrends and a trend-defining EMA,
feel free to play around with the settings, a backtest on 8h ETHUSDT pair brought some good results using
the 233EMA and investing 75% of a 10k start capital
the idea is to have at least 2 super trends going green above the trend-EMA to go long and exit by turning
2 super trends red (idea: 1 super trend in red could initialize a take profit)
shorts work vice versa
The EMA shows in green for uptrends and in red for downtrends, if it is blue no Signal will be taken because
the 3 super trends are not all above or below the trendline(EMA)
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Update 1:
- Fixed a minor input error
- Added ATR stoploss, and commented out the percentage stop loss
- Added time window to backtest
- Added exit on risk/reward is met
- This version is only buy...wait for next update adding shorts and more
As always, thanks for your ideas, likes, and support. Feel free to mess around with the settings and give me your feedback.
Super Breakout day trading This is an intraday indicator which uses Bollinger band and volume flow and MA to alert buy and sell signal.
A user can use this indicator to help make entry and exits. This indicator wont show entry and exist of larger time frames like Day week month.
This indicator uses Bollinger bands but try to minimize it shortcoming where it will buy and keep holding and eventually sell at a loss.
By adding addition parameters around volume it check if the price has reached its peak
Monthly Returns with BenchmarkI keep working on trying to make TradingView strategies look fancier.
A few months ago I published the first version of the Monthly Returns for Strategies in Pine Script. I received quite a lot of good feedback and quite a lot of requests to update it.
This is a more advanced version of the Monthly Returns, in it, you can:
Display monthly returns of your strategy, benchmark, and alpha over this benchmark.
Select benchmark to be another instrument
Select the date from which you want to compute monthly returns
Show/hide benchmark and alpha
Choose colors for gradient for gain/loss values
Use it with any type of strategy
Use it with replay
I hope it will be useful for you.
It's not about the strategy itself but the way you display returns on your chart. So pls don't critique my choice of the strategy and its performance 🙂
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Crypto MF S/R Strategy - cespanolThis strategy uses the Crypto_MF SR indicator to autogenerate horizontal support/resistance lines. The strategy involves alerts for buying when price tests support lines and selling when price tests resistance lines. The time filter was added to backtest specific dates and fine tune the inputs for best results.
Credit to Crypto_MF for original source code and Bjorgum for the time filter.
RSI Average Swing BotThis is a modified RSI version using as a source a big length(50 candles) and an average of all types of sources for candle calculations such as ohlc4, close, high, open, hlc3 and hl2.
In this case we are going to use a 0-1 scale for an easier calculation, where 0.5 is going to be our middle point.
Above 0.5 we consider a bullish possibility.
Below 0.5 we consider a bearish possibility.
I made a small example bot using that initial logic, together with 2 exit points for long or short positions.
If there are any questions, let me know !
EMA Cross V1 for eth 4HFor ETH in Bullish Zone (Time frame 4H)
Condition Back test
- 50% of Equity (for decrease max drawdown less than 15%)
Warning : Many fake signals are in Sideway or Bearish.
moonshot hypertrender (supertrend strategy)
This is a well-known strategy by using 3 different Supertrends and a trend-defining EMA,
feel free to play around with the settings, a backtest on 8h ETHUSDT pair brought some good results using
the 233EMA and investing 75% of a 10k start capital.
The idea is to have at least 2 Supertrends going green above the trend-EMA to go into a long position. The exit
will be triggered if 2 Supertrends change to red (idea: 1 super trend in red could initialize a take profit).
Taking shorts works vice versa.
The EMA shows in green for uptrends and in red for downtrends, if it is blue (ranging market) no Signal will be taken because
the 3 Supertrends are not all above or below the trendline(EMA).
I heard about this strategy on youtube but I can't get the promised 60% win-rate ;)
any suggestions to improve it are welcome
Hope you find it useful and it would be nice to get your feedback
-theasgard-
Classic Long Term Trend Following SystemThis is a classic long term trend following system.
The breakout period is 50 days instead of 20 and the moving average crossover are 40 and 120.
The moving averages are also exponential instead of simple.
The stoploss is 4 ATRs away from the price.
Recommendations:
Donchian Channels settings > 50 days
Moving Averages > 40 and 120, 80 and 140
Important to note:
My first strategy, DC Breakout System | This is simplicity at its finest, is best used on the crypto market and this one for stocks, commodities, currencies, etc. Those markets tend to trend a lot longer than crypto do.
Trend Following with Bollinger BandsThis is a trend following system which uses the Bollinger Bands instead of the Donchian Channels.
Long position:
* Price closes above the middle line.
* The fast EMA (in this case the 40) crosses over or is above the slow one (in this case the 120)
Short position:
* Price closes below the middle line.
* The fast EMA crosses under or is below the slow one.
Stoploss:
* 4 ATRs away from the price.
Trend Following with Donchian Channels and MACDThis is a trend following system based on the Donchian Channels. Instead of using a simple moving average crossover, this system uses the MACD as the trendfilter:
Long positions:
* Price makes a new 50 day high,
* The MACD-line crosses above or is above the Signal-line.
* Both the MACD and the Signal-lines are above the zero-line.
Short positions:
* Price makes a new 50 day low,
* The MACD-line crosses below or is below the Signal-line.
* Both the MACD and the Signal-lines are below the zero-line.
Stoploss:
The initial and the trailing stoploss are 4 ATRs away from the price.
A simple trading strategy for XTZ/EUR (December 2021)This is my current trading strategy for XTZ/EUR for this month of December.
It tries to avoid pumps/dumps (i.e. does not trade on big candles).
It always performs one order in each candle for the trading window of the rebalance bear/bull market indicator (check my profile for it).
It has alerts configured so that you can use it in your server/broker (just pass along the `{{strategy.order.alert_message}}` in the alert message, it will include a positive number of XTZ when to buy, or a negative number when to sell).
It does not repaint.
The amount of crypto and fiat in the portfolio can be configured in the cog.
It does not outperform buy/hold for the bull months.
Check the results in the Data Window of Trading View (please avoid the Strategy Tester, it has too many bugs and is not intended for out of the box strategies such a this one).
All code is open source.
