Stairs Gain Strategy - MGI will explain step by step.
1- The position order filtering option is used to filter out duplicate positions.
2- The reason I use an ATR multiplier is to balance the ATR value that differs in instruments.
3- ATR lower limit and ATR upper limit values are to reduce unnecessary transactions and commission expenses in the horizontal market.
4- Strategy take profit and stop loss levels are calculated as percentages. The reason why there is no point account is that it can be used in the stock market.
5- Developer friends can get a more efficient result in forex market instruments by converting this to a point account.
Notice :
Variables are different in each instrument. Therefore, this strategy should be optimized for each instrument used.
ATR
Strategy - Cryptosystem NNFX wayFirst script done!
This is my version of the No-Nonsense Forex (NNFX) Strategy
This strategy shows you the entry and exit signal with a standard 1.5 x ATR for Stop Loss and 1 x ATR for Taking Profit. You can adjust the settings to your needs.
This strategy uses 5 indicators:
1. Average True Range for SL and TP placement, there is a nuance where you can add the 1XATR Rule;
2. SMA used to filter longs and shorts;
3. SSL Channel for 1st Confirmation;
4. DPO for 2nd Confirmation;
5. Waddah Attar Explosion as a volume indicator.
There is no exit indicator because I coded 2 trades (2x0.5). TP1 will be at 1xATR and TP2 will automatically trail behind with 1.5XATR. You can see the red trailing line on the charts.
Other exits can be: When SSL gives opposite signal or when price crosses and closes your baseline.
I used this system for 1D timeframe.
Hopefully this can be usefull for your tradingstyle.
Would be great if you guys leave a like.
Thanks!
3 Candle Strike StretegyMainly developed for AMEX:SPY trading on 1 min chart. But feel free to try on other tickers.
Basic idea of this strategy is to look for 3 candle reversal pattern within trending market structure. The 3 candle reversal pattern consist of 3 consecutive bullish or bearish candles,
followed by an engulfing candle in the opposite direction. This pattern usually signals a reversal of short term trend. This strategy also uses multiple moving averages to filter long or short
entries. ie. if the 21 smoothed moving average is above the 50, only look for long (bullish) entries, and vise versa. There is option change these moving average periods to suit your needs.
I also choose to use Linear Regression to determine whether the market is ranging or trending. It seems the 3 candle pattern is more successful under trending market. Hence I use it as a filter.
There is also an option to combine this strategy with moving average crossovers. The idea is to look for 3 candle pattern right after a fast moving average crosses over a slow moving average.
By default , 21 and 50 smoothed moving averages are used. This gives additional entry opportunities and also provides better results.
This strategy aims for 1:3 risk to reward ratio. Stop losses are calculated using the closest low or high values for long or short entries, respectively, with an offset using a percentage of
the daily ATR value. This allows some price fluctuation without being stopped out prematurely. Price target is calculated by multiplying the difference between the entry price and the stop loss
by a factor of 3. When price target is reach, this strategy will set stop loss at the price target and wait for exit condition to maximize potential profit.
This strategy will exit an order if an opposing 3 candle pattern is detected, this could happen before stop loss or price target is reached, and may also happen after price target is reached.
*Note that this strategy is designed for same day SPY option scalping. I haven't determined an easy way to calculate the # of contracts to represent the equivalent option values. Plus the option
prices varies greatly depending on which strike and expiry that may suits your trading style. Therefore, please be mindful of the net profit shown. By default, each entry is approximately equal
to buying 10 of same day or 1 day expiry call or puts at strike $1 - $2 OTM. This strategy will close all open trades at 3:45pm EST on Mon, Wed, and Fri.
**Note that this strategy also takes into account of extended market data.
***Note pyramiding is set to 2 by default, so it allows for multiple entries on the way towards price target.
Remember that market conditions are always changing. This strategy was only able to be back-tested using 1 month of data. This strategy may not work the next month. Please keep that in mind.
Also, I take no credit for any of the indicators used as part of this strategy.
Enjoy~
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.
Chandelier Exit - StrategyI created a strategy version for the Chandelier Exit indicator, originally owned by @everget . With the strategy I prepared, you can try both short-long and stop loss - trailing stop and take profit rates. I have also added a date filter feature so that you can test the strategy in the date range you want.
Orjinali @everget 'e ait olan Chandelier Exit indicator için strateji versiyonu oluşturdum. Hazırladığım strateji ile hem short-long deneyebilir hem de zarar durdur - takip eden stop ve kar al oranları denemeleri yapabilirsiniz. İstediğiniz tarih aralığında strateji testi yapabilmeniz için tarih filtre özelliği de ekledim.
Hourly Bias on BTC in Bullish USA Session “Green Eagle”Name: Hourly Bias on BTC in Bullish USA Session
Category: Hourly Bias
Operating mode: Spot, only long
Trades duration: Intraday, 11 bars
Timeframe: 1H
Suggested usage: When the market is compressed, USA session has a bullish bias.
Entry: enter Long at 15:00 on specific days of the week. There is a volatility filter based on ATR which identifies compression.
Exit: exit at a pre-defined time at 01:00
Usage:
⁃ It can be useful to use alerts or webhooks to automate this strategy.
⁃ This is a core system that can be improved in different ways (e.g. Stop-loss, take-profit, position sizing) or studying more the behaviour in the specific days of the week or short when is red.
Configuration:
- N/A
Backtesting
⁃ Exchange: BINANCE
⁃ Pair: BTCUSDT
⁃ Timeframe: 1H
⁃ Fee 0.075%
⁃ Slippage 2
- Start : 2019-01-06
We decided to release this free BTC strategy.
How you or we can improve? Source code is open so share your ideas!
action zone - ATR stop reverse order strategy v0.1 by 9nckACTION ZONE-ATR MOD v0.1 DOCUMENTATION
Overview
This tradingview pine script strategy is mainly created to enrich my coding skill. It is a combination of “CDC-ACTIONZONE” and my personal studies of trading techniques in various sources e.g.book, course or blog. This strategy purposefully built to connect with my automatic trading bot. However, It will be very useful to aid your trading routine by diminishing mental distraction which possibly leads to bad trades.
How does it work?
This strategy will do a basic simple thing that most traders do by creating entry signals on both sides long/short and also set the stop loss. Furthermore, It will also reverse the order (from long to short and vice versa (if long/short conditions are met). Finally, it will recalculate the stop loss/take profit price in every complete bar to increase the chance of winning and limit our loss.
Entry rules(Long/Short)
If you have no open order, an order will be created when a fast EMA crosses(up(long)/down(short) the slow EMA(It’s as simple as that).
If you have an open order, the current order will be (sold if long, covered if short) and the opposite side order will be created.
Exit and Reverse rules(Long/Short)
If fast EMA cross (DOWN(long), UP(short)), the current order will be closed, THE OPPOSITE SIDE ORDER WILL ALSO BE CREATED.
Risk management
FLEX STOP PRICE : initial value will be set at the bar which order created. It is a fast ema (+/-) MIDDLE ATR value.
If MIDDLE ATR value rises, it will be our new stop price.
If MIDDLE ATR value falls, stop price unchanged
If Price OVERBOUGHT(long)/SOLD(short), LOW of that bar will be a new stop price.
Minimum position hold period
In order to eliminate risk of repeatedly open, close orders in sideway trends. Minimum hold period must be passed to start exit our position. However, It always respects stop loss prices. The value refers to the number of bars.
MUST READ!!!
This strategy uses only MARKET ORDER. If you trade with a bot, make sure you choose only enormous market cap tokens.
This strategy is bi-direction strategy. It will work best in the DERIVATIVE market.
It was initially designed to compete in the cryptocurrency market which has very high volume and volatility.
I only use this strategy in 1HR (acceptable change rate, optimum trade frequency)
How (should) we use it?
Choose crypto future pairs (recommend only top 10-15 market volume pairs in Binance, let’s say 1000M+ trade value)
Choose your time frame (1H is strongly recommended)
Setup your portfolio profile (Setting->Properties) such as Initial cap, order size, commission. DO NOT USE CAL ON EVERY TICK IT WILL CAUSE REPAINTING AND YOUR CAPITAL IS BLEEDING !!!
BACKTEST FIRST!! Back test is a combination of art, math and statis(and a bit of luck). You can apply to train and test methods or whatever you are familiar with. In my opinion, your test period should include UPTREND, SIDEWAY, DOWNTREND. Fine tune fast, slow ema first(my best ema length of 1H timeframe around 7-10, 17-22). Try to eliminate fault breakout trade and use other options only necessary. Hopefully we can use automatic optimization on Pine Script soon.
Don’t forget to turn off using a specific backtest date option to start your strategy.A
THIS IS NOT A PERFECT (OR EVEN PROFITABLE) STRATEGY. USE AT YOUR OWN RISK AND TRADE RESPONSIBLY. DYOR DUDE.
Seer by EY84This is a strategy based on Exponential Moving Averages or Volume Weighted Moving Averages against Adaptive fib resistance / support level and profit percentage which can be definetly defined by user and targeting small profits(profits will be raised by leverages).
In this strategy, there are predefined values which are collected one by one with statistical background and backtests. This gives an advantage to see which ratios are working better for each symbol.
Also this statistics are re-evaluated monthly and if there is a need they are goging to be changed with the help of libraries. Also IT IS RECOMMENDED TO USE IN HOURLY INTERVAL GRAPHICS!!!!
When we deep dive to strategy, it is based on profit percentages. it is similar to the MOST system. MOST only changes the way with default value of %2. But this hardcoded strategy is not working well with each Symbol.
So this is the point where Statistics are involved.
For Ex. while BTC is suits well with %2, it does not do wonders for RSR or RUNE which is 4-5% for each.
Library stores these values as a predefined options. Also it is allowed to change these predefined values within the settings of this strategy.
what is next ? Lets see how are we closing the positions.
Script checks cross of EMA / VWMA and adFib to decide open a position. In reversal / crosses, adFib line had been set to defined Fib. Percentage level. This sets the Full Position close / SL value for current order.
OK! we got the SL but how we get the profit ?
Now this is the place where Profit Percentage (PP) parameter involved. After the position opened it is waiting for PP to be reached. After PP had been reached, close signal had been raised for the HALF of the OPEN ORDER (with the BAR CLOSURE!!).
so tricky part has come here. Remaining position is still open and when "total available profit with remaining amount" had been reached to PP it wil raise the Close Half signal will be raised.
what happens to the SL position ? TWO possible scenarios will be raised here.
Case 1. Reversal on the adFib (short-to-long or long-to-short) will trigger full close signal.
Case 2. If the level drops the previous signal system will generate full close signal again.
Example 1:
Long Order Open : 100$
Half Close Signal : 110$
Case 1: adFib Reversal occurs : 105$ ==> Triggers Full Close Signal with Short Order.
Case 2: Price falls : 100$ ==> Only Triggers Full Close Signal.
Example 2:
Long Order Open : 100$
Half Close Signal : 110$
2. Half Close Signal : 121$
Case 1: adFib Reversal occurs : 115$ ==> Triggers Full Close Signal with Short Order.
Case 2: Price falls : 110$ ==> Only Triggers Full Close Signal.
Beside of these, strategy is also includes editable 4 EMA, 1 WMA, 1 AVWAP and Bollinger Bands Plotting (2.5x Multiplier) who wants to use them as a supportive statistics.
All feedbacks are welcome.
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.
Best Strategy on TradingView? (Maybe)Best is quite a broad adjective and can be interpreted in many ways.
Does this strategy produce the best net profit on everything it trades compared to every other strategy? Probably not.
Does this strategy have the highest profit factor compared to every other strategy? Probably not.
However, in terms of all in one packages that are easy to implement and understand, while providing great results on most assets on most time frames... Is this the best strategy on TradingView? Maybe!
This strategy provides enough flexibility to be completely customised to each users trading needs, while being based on strategy logic that is so broad, so time tested and not overfitted - that it can be used by everyone on anything.
The strategy is fairly simple, MA ribbons, and the ATR. Seriously that's pretty much it. For momentum and trend based trading what more do you need! I've tried adding multitudes of other indicators, fundamental factors, technical tools etc. But after all that, this simple combo provides the best and most rounded results across the board.
I've tried to make the UI simple and intuitive so all users can load up and go and feel like they understand everything that is happening - but if anyone has any questions please do not hesitate to ask!
Also, if you find some great settings on something, share your results in the comments!
Have any ideas how this can be improved? Again, just let me know!
I hope you enjoy and I hope this helps with your trading & investing.
Hull MA TimeFrame CrossOverHello traders,
Although this strategy is configured on BTCUSDT , with a changing of settings, it can be used on any trading instrument.
Here it is seen, on the 2 hour chart. With Trading Fees included in result (adjust to suit your exchange fees).
The candle crossover is set to Daily timeframe.
That means that the Candle crossover is going to see if todays price is higher than yesterdays price.
If user sets this to 4 hour timeframe, the candle crossover would be when price is higher than the the price 4 hours ago...
The rest is simple, a moving average to detect direction, and an ATR StopLoss (if activated).
There is StopLoss and Take Profit settings which work by percentage.
The periods of the moving average and the ATR can be adjusted, as can the TP % and SL %.
The price is taken from the CLOSE or the OPEN or OHLC4 etc... which can be changed in the settings. OPEN is recommended to avoid repainting.
The moving average also has selectable types (ALMA,SMA,EMA,WMA,HMA)
So if the Price is above the Moving average, and the moving average is above the alternate timeframe value, then a buy is activated
if the Price is below the Moving average, and the moving average is below the alternate timeframe value, then a sell is activated
if OPEN is selected as Price source, then the alternate timeframe value would be the OPEN of the alternate timeframes candle.
the values are all plotted on chart so user can see what is happening when what crosses over what, and then what changes when settings are adjusted.
Have FuN!
if this strategy brings you the epik win......
.... dont forget about me
seaside420 ❤️
DMI (Multi timeframe) DI Strategy [KL]Directional Movement Index Strategy
Entry conditions:
- (a) when DI+ > DI- on timeframe #1, and
- (b) Confirmation: when DI+ > DI- on timeframe #2
In the shown example, timeframe1 was same as the chart (1H) and timeframe2 was 1D.
Stop Loss: ATR based trailing stop
About DMI
Can refer to Investopedia for general understanding.
Applications of DMI in this strategy:
- Assumes uptrend when DI+ is above DI- (when green DI+ lines above red DI-), vice versa for downtrend. This is checked in two different timeframes that can be set by user in settings.
- DX is ignored, it doesn't give a direction of the trend. But if DX was applied, it would be a good indicator for quantifying the strength of uptrend/downtrend. This measurement would typically be read along a threshold (i.e. if below 20, then market is likely consolidating). All of these have been commented out (ignored by pinescript's interpreter via //) in the codes, as said; we are not using DX for sake of simplicity.
Visualizations
To make the chart look cleaner, DMI plots have been simplified to just down/up arrows placed at bottom of the chart.
Referring to the example chart:
- Green arrows : when DI+ > DI- for both timeframes, implies uptrend
- Red arrows: other way around (DI+ < DI-), implies downtrend
DC Breakout Strategy | This is simplicity at its finest.As the title already describes: this is a Donchian breakout strategy. This strategy, as of now, only goes long. It goes long when the price close makes a new high and the 8 day moving average is above the 32 day moving average. The strategy exits the trade if the price breaks the atr trailing stop of * 3 or the 8 day moving average crosses below the 32 day moving average.
This is simplicity at its finest.
UT Bot v5This is an update by request, on someone elses strategy! well more of an edit, but also update from pine v4 to pine v5.
//CREDITS to HPotter for the orginal code. The guy trying to sell this as his own is a scammer lol.
//Edited and converted to @version=5 by SeaSide420 for Paperina
The UT Bot v5 is Movinging average (the MA) vs ATR (the ATR is in the form intended for use as trailing stop loss (ATR_TSL))
Entry logic:
buy = the MA > ATR_TSL and Price > ATR_TSL
sell = the MA < ATR_TSL and Price < ATR_TSL
The Moving average type can be changed in the settings:
options = "SMA", "EMA", "WMA", "HMA"]
the edits i made were:
convert to v5
Add TP and SL
Add Buy only or Sell only option
Add MA type option
Add price source option
Draw MA and ATR_TSL on-chart
DI Crossing Daily Straregy HulkTradingSimple strategy based on crossing DI+ and DI- and Average True Range.
Long entry when DI+ crossover DI-
Short entry when DI+ crossunder DI-
Stop Loss and Take Profits based on Average True Range.
Default values are 1*ATR(14) for stop loss and 2*ATR(14) for Take Profit.
Risk reward 1 to 2 ratio.
Recommended default values, but you can change it if you want.
Recommended timeframe - 1D.
Script was tested on BTCUSDT pair and have a 2.4 profit factor.
Zero-Lag HMA Backtest v1.0 [loxx]This backtest compares profitability differences between a regular Hull Moving Average ( HMA ) and a Zero-Lag HMA .
Things to know:
- Profit is set to 1 ATR
- Stop-loss is set to 1.5 ATR.
- This is by design to test the minimum the profit scenario (1 ATR up) and the worst case loss scenario (1.5 ATR down) for momentum trading. Actual results vary when additional TPs are added
How to use:
- Adjust settings and dates to view different market structures and position scenarios
- See results in the "Strategy Tester" pane
Conclusions and what's next
- Modifying HMA does very little to improve backtest results
- Future iterations will include options to backtest various moving averages with additional modifiers to improve profits and avoide losses
Comment below or send a PM with questions, comments, observations, or concerns.
Mean Reversion Strategy v2 [KL]Description :
This strategy will enter a position when the following conditions are met:
a) Main signal: When source data (ATR) diverts from its moving average value, and
b) Confirmation: If predicted direction of trend is favorable.
Assumptions :
During periods of high price volatility, ATR diverts from its moving average value. Eventually, ATR should revert. But since just knowing the magnitude of increase/decrease of ATR does not indicate a trend signal, we need to introduce a model to predict the current trend.
In short:
• Trend Prediction : This strategy calculates the expected logarithmic return of the security (the "Drift") and considers prices to be moving in uptrend if the drift curve is upward sloping.
• Assessment of ATR diversion : To determine "yes/no" regarding whether ATR at a given point in time has diverted, this script conducts a two-tailed hypothesis test at each candlestick period. The null hypothesis (H0) is that the fast moving average value should equal the slow moving average value (say, denoted as H0: atr14 == atr28; it is assumed that atr28 is more meaningful for the purpose of describing the current trend because it has a larger sample size). Investopedia has an article summarizing this topic .
Exit Condition :
When trailing stop loss hits.
Previous version :
This strategy is based on Version 1 published back in September . This older version considers +/- one standard deviation to be the critical values relative to average ATR when testing whether ATR has diverted from the mean. This does not take Standard Error ("SE") into account. As a result, the threshold is often too wide and it generates too many entry signals.
Simple Ema_ATR Strategy HulkTradingSimple EMA strategy, based on ema55+ema21 and ATR(Average True Range) and it enters a deal from ema55 when the other entry conditions are met
Basically long and short conditions
If long:
1) close must be less than open (because we are searching for a pullback)
2) emaFast(21) must be bigger than emaSlow(55) - for a trend detection
3) Difference between emaFast and emaSlow must be greater than ATR(14) - for excluding flat
For short conditions are opposite
Stop levels and take profits, based on ATR multiplier.
You can change it in input field.
I recommended values between 1 and 4, not more.
This strategy was tested on pairs BTCUSDT and ETHUSDT and have a nice results.
TripleEMA + StochasticRSI + ATR Scalping Strategy by TradeSmartCOINBASE:BTCUSD Hello everyone and welcome to our second script release!
This script is one of many upcoming scripts. This one is a test for us, how it works, how you guys like this kind of stuff, and for feedback what we should change/improve at.
So feel free to comment any suggestions you have.
SCRIPT IS OPTIMIZED FOR:
BTC/USD (Coinbase) 15 minute timeframe
(Keep in mind default settings does not include trading fees, you can set it at the properties)
I recommend using this script on a trading exchange where the fees are extremely low or on an exchange where you get paid to place limit orders.
(I am not a financial avdvisor and none of this is financial advice.)
Now you can modify the following:
Stochastic RSI
3 different EMA
Length of ATR (for stop loss and take profit)
Stop Loss and Take Profit Risk to Reward ratio
Choice between Capital Risk on each trade or Risk of % of Capital
Allowing Short/Long entries only
Limit between dates
Trading days 1-7
We will update the script with more and more features taking in consideration your requests.
Hope you like it! Don't forget to let us know what we should change or improve. Thanks, and have a great day!
STRATEGY ENTRY RULES
LONG
When EMAs are lining up (meaning for ex. 400 < 13 < 7), and the Stochastic RSI crosses upwards (meaning blue line crosses orange upwards), then go long.
SHORT
When EMAs are lining down (meaning for ex. 7 < 13 < 400), and the Stochastic RSI crosses downwards (meaning blue line crosses orange downwards), then go short.
TAKE PROFIT
When price hits the exit price (calculated from stop loss with the risk ratio)
STOP LOSS
When price hits stop loss then exit the position.
QUANTITY TO BUY (Risk per Trade % or Capital %)
Risk Per Trade % attribute: we can set how much money we want to risk on one trade. Meaning that if we lose that particular position, then a Risk Per Trade % value of our equity will be lost.
Example: if you set the Risk Per Trade % to 1 % and you have a 100$ account balance, then if you loose the trade you will loose 1$ max.
Capital % we can set with how big % of our capital we want to enter into a position. Meaning that we enter with a set % of our capital.
Example: if you set the Capital % to 1 % and you have a 100$ account balance, then you will enter the position with 1$.
First Release Settings: (2021-10-25) for BTC/USD (Coinbase) 15 minute timeframe
Stochastic RSI settings: (Not displayed in the script. If you want to see it you have to add it separately.)
K: 3
D: 2
RSI Length: 6
Stochastic Length: 16
RSI Source: hlc3
EMA 1: 5
Source One: Close
EMA 2: 12
Source Two: Close
EMA 3: 215
Source Three: Close
Length of ATR: 16
Stop Loss Multiplier (risk): 3.6
Exit Price Multiplier (reward): 1
Risk Percentage: 3
Allow Long Entries: yes
Allow Short Entries: yes
Valid Trading Days: 1234567
The valid trading days of the Limit Trading Time feature. Numbers represent the days: Sunday (1), Monday (2), Tuesday (3), …, Saturday (7)
If you like this one, follow for more scripts! Thank you for your support!
MACD-Extendido-Estrategia por Neil--------------------------------
MACD-Extendida-Estrategia
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DESCRIPTION
Resource that identifies entry and exit operations using the indicator
Average Convergence and Divergence Movements ( MACD ) and 5 strategies
INTERESTING
Novel strategies are implemented such as:
1. Overbought and oversold band to avoid horizontal movements
2. Control inputs and outputs at positions opposite the histogram line
3. Make a profit (take profit) without prior purchase orders
HOW DOES IT WORK (STRATEGIES)
1) Overbought and oversold:
Allows you to define an overbought upper band
Allows you to define an oversold ower band
Operations that occur within the band are ignored
2) Place of next operation (either side):
Indicates that the next operation can occur on either side of the histogram
3) Place of next operation (opposite side):
Indicates that the next operation must occur on the opposite side of the histogram
4) Take profit:
It allows defining the deviation in favor to execute a take profit.
It does not place a buy order at a distant point, instead it looks back and if the shift meets the expected deviation, take profit is executed
5) Loss control (stop loss):
It allows to define the deviation against to execute a stop loss.
It does not place a stop order at a distant point, instead it looks back and if the displacement meets the expected deviation the stop loss is executed
How to use it:
Press the "Indicators" option, go to the "Public Librarian" segment, write the name "MACD-Extended-Strategy by Neil", double-click on the record in question and you will have it added in your work panel, now, just It remains to be used to identify the inputs and outputs and you can do it visually or by defining the automatic notification alerts.
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MACD-Extendida-Estrategia
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DESCRIPCION
Recurso que identifica operaciones de entradas y salida haciendo uso del indicador
Media móvil de Convergencia/Divergencia ( MACD ) y 5 estrategias
NOVEDADES
Se implementan estrategias novedosas como:
1. Banda de sobrecompra y sobreventa para esquivar movimientos horizontales
2. Control de entradas y salidas en posiciones contrarias a la línea del histograma
3. Toma de ganancias (take profit) sin ordenes de compra previa
COMO FUNCIONA (ESTRATEGIAS)
1) Sobrecompra y Sobreventa:
Permite definir una banda superior de sobrecompra
Permite definir una banda inferior de sobreventa
Operaciones que ocurren dentro de la banda son ignoradas
2) Lugar de próxima operación (cualquier lado):
Indica que la próxima operación puede ocurrir en cualquier lado del histograma
3) Lugar de próxima operación (lado opuesto):
Indica que la próxima operación debe ocurrir en el lado opuesto del histograma
4) Toma de ganancias (take profit):
Permite definir la desviación a favor para ejecutar una toma de ganancia.
No coloca una orden de compra en un punto distante, en su lugar mira hacia atrás y si el desplazamiento cumple con la desviación esperada se ejecuta la toma de ganancia
5) Control de pérdida (stop loss):
Permite definir la desviación en contra para ejecutar una parada de pérdida.
No coloca una orden de parada en un punto distante, en su lugar mira hacia atrás y si el desplazamiento cumple con la desviación esperada se ejecuta la parada de la pérdida
Como usarlo:
Presione la opción "Indicadores", ubíquese en el segmento "Libreria Publica", escriba el nombre "MACD-Extendido-Estrategia por Neil", haga doble clic sobre el registro en cuestión y lo tendrá agregado en su panel de trabajo, ahora, solo resta usarlo para identificar las entradas y salidas y puede hacerlo de forma visual o definiendo las alertas de notificación automática.
Av3Based on the ANNE EA v3 for MT4. For use on FOREX.
if ATR is greater than ATR average taken from last 5 candles, then market considered as trending, and so Open(0)>Close(1)=buy Open(0)Close(1)=sell Open(0)<Close(1)=buy.
If trending, then buy high & sell low, if consolidation then buy low sell high.
Exit is by trail and Take Profit.
PM me for edit or MT4 version info.
Rosebud Trend Backtest [DepthHouse]*Past Performance Does Not Guarantee Future Results*
*Strategy created for backtesting purposes only.
*Backtesting assesses the viability of a trading strategy or pricing model by discovering how it would have played out retrospectively using historical data.
* Please be sure to read all updates below as the information below could change with future updates.
Rosebud Trend Indicator uses complex range calculations to easily detect trend changes, critical support and resistance levels, and even aid in spotting reversals. The Critical Support & Resistance Zones are plotted via the red and green cloud. This cloud not only visually displays the expected trend direction but often acts as major support and resistance zones. The outer band measures the expected range in which the assets trade over longer periods of time.
The Rosebud Trend Backtest combines the calculations of the ATR Auto Oscillator & the Rosebud Trend Indicator to demonstrate backtest performance.
// Settings //
Users can switch the ‘ Trend Sensitivity ’ between ‘ Low ', ' Med ', and ‘ High ’ to increase or decrease the rate at which the cloud changes.
By altering the S/R Band Thickness users can furthermore increase or decrease the rate at which a trend changes by altering the thickness of the cloud. Default is .50 however this can be lowered if needed.
Bar colors are generated by a combination of Rosebuds primary function and our ATR AUTO Oscillator base functions. Users have 3 bar color options to select from: Simple, Complex, and Off.
Simple: Bars colors alternate between shades of red and green based on the trend direction and the ATR Auto strength. The stronger the shade, the stronger the trend.
Complex: This adds a few extra variables to the script which generates a more complex bar color display. Using this option, Rosebud will generate light red bars in a bull trend if downward movement is strong and vice versa in a bear trend. It also will generate a purple bar if the candle successfully closes above or below the Top & Bottom Range Bands; We call this a range break, and it could be an early sign of strong upward or downward movement.
Off: In case you like to keep things even simpler, this option hides all overlay bar colors.
ATR Options: Used for Light & Strong Entries/Exits // Bar Colors also based on these settings
ATR Smoothed Signal Option: Turns advance smoothing on or off. On will reduce signal noise, while Off could land you that perfect bottom signal with a lower success rate.
ATR Candlestick Length: Default factor for bar color and shape generation, the higher the number the fewer signals that will generate.
ATR Candlestick Smoothing: Default smoothing for the Candlestick Length
Signal Lookback: Adjust the factor at which Bull, Bear, Up, and Down. Lower this to 2 for more signals.
// ⇅ BackTest Settings ⇅ //
Short Trading: Option to see backtest results for both long and short positions. Default is Long Only.
Strategy Entry Options:
Trend Only: Positions are entered right as there is a cloud trend change.
Light Entry: This enters a trade as soon as there is a breakout or breakdown signal generated from the ATR settings.
Strong Entry: Multiple conditions must be met; Price action must be near the Trend Base and must receive either a bullish or bearish crossover in the oversold or overbought range of the ATR Settings.
Strategy Exit Options:
Trend Only: Exits all positions after there is a primary trend change.
Light Exit: Exits a user set percentage of open positions when the ATR generates a breakdown or breakout. Will continue to do this at each occurrence. Presets are built in to keep these from triggering too often in volatile conditions.
Strong Exit: Exits a user set percentage of open positions when the ATR generates a bullish or bearish crossover in the overbought or oversold ranges. Will continue to do this with each occurrence. Presets are built in to keep these from triggering too often in volatile conditions.
Profit Points: Exits a set percentage of the position up to 3 times at a user set percentage gap from the entry. Any remaining amount in the position exits upon a trend change.
Profit QTY Percent: Percent of the position to exit when an exit condition triggers. This does not apply to the “Trend Only” exit option.
Profit Percent Gap: Percent gap for Profit Point Exits. Recommend adjusting based on timeframe. See example below.
