Jigga - Survival LevelHi All !!
Its always the case that we buy a stock and it starts falling !! What a new investor will do is to add few more on downfall and then few more until they stuck all their case to same falling stock.
I thought to create a level which can help long term investor on when to buy and sell.
Logic:
I have used multiple indicators logic all into one and find out when majority of them are showing positive sign.
Green /Red line will be shown when majority are in positive / negative territory.
Buy and sell signal will be generated based on this line only.
Note:
Use this on Weekly chart on good fundamental stock for long term investment.
Trendanalyse
Bollinger Bands Strategy with StopLossThis is the default Bollinger Bands Strategy with a small change to support Stop Loss.
The default built-int BBS does not support Stop Loss and using it may cause large losses, specially in margin trading.
Added inputs:
Source
Stop Loss Percentage
Logistic strategyThis strategy is loosely based on the logistic function. This function is often used to model population growth. I used it here to model price change using the z-score of net volume as the parameter to the exponential function.
Ultimate Ichimoku Cloud StrategyThe goal of this strategy script is to provide the ultimate experience to anyone interested in the Ichimoku Kinkō Hyō (Ichimoku Cloud). The script is designed to be highly customizable and allows the user to set a custom trade date range and select any combination of inputs and conditions that satisfy their goals. Additionally, the script allows the user to visually see any combination of their set conditions by clicking the " Show Conditions Visually " checkbox. Doing so will color the background in a different color where the conditions align. Finally, a simple Stop/Take profit is added for those that wish to exit based on percentages over Ichimoku conditions.
As always, please let me know if there are any bugs, something useful that could be added or if you need some help. Leave a like if you wish!
200DMA last DOM - ajhImplements and backtests a simple 200 day moving average trend following rules based on last day of month to limits trades to 12 per year.
From the book : 5 BEST Moving Average Strategies (That beat buy and hold) by Steve Burns and Holly Burns
Click on the cog to set the input date range eg; 2000-01-01 to 2016-12-31
The book back tested SP500 returns from 2000-2016 317% using this method vs 125% buy and hold only with less drawdown.
Simple 200 day moving average test and trading on last day of month.
(you may find it trades on next available day close to end of month as not all dates can be traded weekends etc..)
Rules are ;
1. if last day of month and stock over 200 day moving average, then go long 100%
2. if last day of month and stock under 200 day moving average, then close long 100% and goto cash.
Aims to miss market declines and keep you long for upside.
Note: Have found doesn't work well in choppy markets moving sideways like the FTSE100 for same period 2000-2016 and causes losses. Also for many stocks.
ETF 3-Day Reversion StrategyIntroduction: This strategy is a modification of the “3-day Mean Reversion Strategy” from the book "High Probability ETF Trading" by Larry Connors and Cesar Alvarez. In the book, the authors discuss a high-probability ETF mean reversion strategy for a 1-day time-frame with these simple rules:
The price must be above the 200 day SMA and below the 5 day SMA.
The low of today must be lower than the low of yesterday (must be true for 3 consecutive days)
The high of today must be lower than the high of yesterday (must be true for 3 consecutive days)
If the 3 rules above are true, then buy on the close of the current day.
Exit when the closing price crosses above the 5 day SMA.
In practice and in backtesting, I’ve found that the strategy consistently works better when using an EMA for the trend-line instead of an SMA. So, this script uses an EMA for the trend-line. I’ve also made the length of the exit EMA adjustable.
How it works:
The Strategy will buy when the buy conditions above are true. The strategy will sell when the closing price crosses over the Exit Moving Average
Plots:
Green line = Exit Moving Average (Default 5 Day EMA)
Blue line = 5 Day EMA (Used as Entry Criteria)
Disclaimer: Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Pivot Point BreakoutThis is a strategy taken from Perry Kaufman's book, Trading Systems and Methods.
Just like the title says, it's a breakout strategy. It works by buying when the current high is higher than the last pivot high, and selling when the low is lower than the last pivot low.
It does not have a good success probability, and relies on the good reward to risk ratio. Definitely not recommended for someone with weak hands.
TFO + ATR Strategy with Trailing Stop LossThis strategy is an experiment to learn what happens when The Trend Flex Oscillator (by Dr. John Ehlers) is used in conjunction with a volatility indicator like ATR. It was designed with cryptocurrency trading in mind.
The way I coded this experiment makes it unsuitable for bear market conditions.
When applied to a bull market, this trend-following strategy will open long positions when oversold price action appear to be reversing. It will typically close a position within a few days unless it gets caught in a bear market, in which case it holds on for dear life. I have tried to make back-testing very simple, but you should never trust it. It's merely and interesting tool for adjusting the many parameters that I've made editable in the configuration window. Those values include the ATR and TFO parameters, as well as setting a trailing stop loss. When closing a position, the strategy can optionally be told to ignore the trend analysis and only obey the trailing stop loss value. I've made an attempt to allow the user to define the minimum profit necessary to allow the strategy to close all all positions. In my observations, the 2H candlestick charts seem to produce the best results, although the parameters of the strategy could theoretically be adjusted to suit other time periods.
In summary...
This strategy has a bias for HODL (Holds on to Losses) meaning that it provides NO STOP LOSS protection!
Also note that the default behavior is designed for up to 15 open long orders, and executes one order to close them all at once.
Opening a long position is predicated on The Trend Flex Oscillator (TFO) rising after being oversold, and ATR above a certain volatility threshold.
Closing a long is handled either by TFO showing overbought while above a certain ATR level, or the Trailing Stop Loss. Pick one or both.
If the strategy is allowed to sell before a Trailing Stop Loss is triggered, you can set a "must exceed %". Do not mistake this for a stop loss.
Short positions are not supported in this version. Back-testing should NEVER be considered an accurate representation of actual trading results.
// portions © allanster (date window code)
// portions © Dr. John Ehlers (Trend Flex Oscillator)
This code is provided for educational purposes only. The results of this strategy should not be considered investment advice.
The user of this script acknowledges that it can result in serious financial loss when used as a trading tool
Gap Absorption StrategyLike the nature, markets don't like the void, and this is something we can take advantage of by trading gaps on some markets.
This technique is well known, so I wanted to write a tiny script based on this strategy to get a bit more comfortable with it.
IMPORTANT: Default parameters wont give you good trades on every markets, you need to modify these parameters to see which proportions correspond to the stock you're trading.
This script triggers signals on predefined variation of a stock price after a gap, and allows its user to configure TP and SL prices corresponding to a specific percentage of this gap movement.
Note: We can observe that opening gaps are often the most interesting.
Options
Trigger: the price variation you want to trigger on (in % of the price)
Stop Loss : in % of the gap
Take profit : in % of the gap
A small table is displayed in the top right corner of the chart to give you TP/SL/Signal prices for each opportunity
SL (red line) and TP (green line) are also displayed on the chart when a signal is triggered
Information concerning the current opportunity is given at the bottom of the chart
Note: This script is based on the Gap-Size-Indicator that I published a few weeks ago.
PickingupFromBottom StrategyPickingupFromBottom Strategy is variation of my earlier strategy HiLoBand
This strategy uses lowest lows of 200 and ema of that with length 7. Lets call this ema200Lows line
wait for price to close below ema200Lows line
Then using camarilla pivot points , wait for camariall centerpoint (actally ema 9 of that ) crossing up the ema200Lows line.
When this condition is met background color is changed to green (visual alert)
and BUY Long is taken
Exit
When the price crosses below the Camarilla R4 line or Camarilla S3 line
Tested with SPY and QQQ on 30 mins chart.
Warning
This strategy is published for educational purposes only.
Supertrend StrategyThis Supertrend strategy will allow you to enter a long or short from a supertrend trend change. Both ATR period and ATR multiplier are adjustable. If you check off "Change ATR Calculation Method" it will base the calculation off the sma and give you slightly different results, which may work better depending on the asset. Be sure to enter slippage and commission into the properties to give you realistic results.
I've also built in backtesting date ranges and the ability to trade only within certain times of day and have it close all trades at the end of that time frame. This is especially useful for day trading stocks. If you check off "Enter First Trade ASAP" then when using the time frame option it will enter the current trade. If however you uncheck that box and instead check off "Wait To Enter First Trade" it will wait for the trend to change and then enter.
You can also specify a % based take profit and stop loss. In most cases the stop loss is not needed because of the atr based stop that supertrend provides so you could check only take profit and see if it works best to take profit or to let supertrend trend change get you out. Also keep in mind that if you have "Enter First Trade ASAP" checked off and use the stop loss and/or take profit then it will re-enter the current trend again.
Finally there's custom alert fields so you can send custom alert messages for strategy entry and exit for use with automated trading services. Simply enter your messages in the fields within the strategy properties and then put {{strategy.order.alert_message}} in your alert message body and it will dynamically pull in the appropriate message.
Heikin Ashi Candle Startegy for Long PositionThis strategy utilize Heikin-Ashi candlestick chart.
Heikin-Ashi technique is a Japanese candlestick-based technical trading tool that uses candlestick charts to represent and visualize market price data.
Heikin-Ashi candle is essentially taking an average of the movement.
There is a tendency with Heikin-Ashi for the candles to stay red during a downtrend and green during an uptrend.
This strategy only apply for long trading position.
The idea is trader will waiting 3 green candles for validation period (confirmation) before entering long position.
Different timeframe will result different result.
Number of validation period can be changed to see different result
This strategy has parameter for take profit percentage, trailing stop and stop loss.
User can set maximum active position to minimize risk and qty order.
This tool is useful for user who wants to backtest Heikin-Ashi trading strategy.
Script will emit alert when long position is opened and closed.
Warning of Backtesting
Backtesting is backward-looking. As the name implies, you are testing how something would have worked if you traded it perfectly in the past.
Past performance does not indicate future performance and you should not assume it does.
Backtesting assumes you never miss-fire, that you get in and out at the exactly perfect moment each time.
Backtesting assumes you have perfect liquidity, and your limit orders fill at a specific, pre-defined price every time (either the open, close, low, high, or some average of these).
Disclaimer
Do your own research and consider fundamental price of asset.
The indicators provided on this script is for educational purposes only.
Author does not offer advisory or brokerage services, nor does it recommend or advise users to buy or sell particular stocks or securities.
Please examined script and give feedback for further improvement.
Script are open to public, everyone see and clone source code or just apply to chart. Please make comment for improvement.
Portfolio Performance - Effects of RebalancingFunction:
- Can be used to evaluate the performance of a portfolio containing 2 assets over a set time interval
- Shows the % return of the portfolio over the time interval defined by the user
- Includes a threshold rebalancing algorithm to show the effects that rebalancing has on the portfolio over the long term
- Created to evaluate of the performance of portfolios containing different weightings of stocks and bonds over time assuming that the user would rebalance the portfolio when asset weights crossed a threshold
Instructions:
- To be used with dividends adjustments turned on
- Add this script to a symbol. e.g. AMEX:SPY
- Click the chart to define the entry time and the exit time. i.e. the time interval
- Define the initial investment of the portfolio. Default setting is $100,000
- Define the second asset to be included in the portfolio. e.g. BATS:AGG
- The strategy comes pre-populated with a portfolio that has a weight of 80% asset 1 and 20% asset 2. i.e. 80% AMEX:SPY and 20% BATS:AGG if the symbols mentioned above were chosen
- The 7 lines show the weighted % return of each portfolio over the time period defined by the user
- Each line (except the blue) is the return based on a different rebalancing threshold. The default settings are 1%, 2.5%, 5%, 10%, 15%, 20%, 30%
- The blue line is the % return of a portfolio that was made up of 100% asset 1 over the time interval. i.e. 100% AMEX:SPY
- Asset weights and rebalancing thresholds are adjustable via the settings
- Each plot can be turned on and turned off via a tick box in the settings
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.
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.
=====
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
