MAPM-V1Greetings dear traders!
I would like to introduce you the script for testing the strategy by crossing two signal EMAs based on the MACD indicator.
In the strategy itself:
The entry is made as a percentage of the deposit by EMA crossings.
There are additional purchases, they are set from the entry price for a given percentage in the opposite direction of the transaction.
The distance in percentage from the entry price, on which the additional purchase is exposed, is set in the StepAddPurchases parameter.
The Martingale parameter increases the initially purchased amount of the base traded cryptocurrency in each additional purchase.
The essence of the strategy is to trade a large number of pairs in order to diversify risks and obtain a stable income.
It is desirable to enter each trading pair with a small percentage of the deposit.
The optimization result shows the trading result for the period of 5000 bars (the platform does not give more history) on 10% of the deposit for the first transaction, the addition will also take place on initially bought amount of base traded cryptocurrency, multiplied by the martingale parameter, raised by the number of addition.
The strategy will still be updated, so see you soon!
移動平均線
Daily_Mid Term_Consulting BOLTDaily Mid Term Consulting BOLT es una estrategia a mediano y largo plazo creada para detectar los cambios tendenciales en zonas de tiempo diarias. se basa en el análisis de los cambios porcentuales que sufre el precio contra las distintas medias móviles simples definidas en la estrategia. el uso de osciladores como el MACD , RSI y EFI apoyan la decisión de entrada a la estrategia.
actualmente esta en construcción la colocación de stop losses para aumentar la eectividad de la misma.
sachin5986using EMA 3 and 21 moving average and showing buy and sell signal to on chart with selected time frame
Arnaud Legoux Moving Average Cross (ALMA)This strategy uses two different Arnaud Legoux Moving Average Lengths, one fast and one slow, to determine crosses for entries. The Arnaud Legoux Moving Average is an improvement to traditional MA's because it reduces lag and smooths the signal line. I have added a volume filter to improve the accuracy of the signals. This script is optimized to be used with crypto, but could be adjusted to use on different instruments. Alert functionality is included. The backtesting results displayed use 10% of the initial account equity, adjust as necessary.
Combo 2/20 EMA & Bull PowerThis 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
Bull Power Indicator
To get more information please see "Bull And Bear Balance Indicator"
by Vadim Gimelfarb.
WARNING:
- For purpose educate only
- This script to change bars colors.
J2S Backtest: 123-Stormer StrategyThis backtest presents the 123-Stormer strategy created by trader Alexandre Wolwacz "Stormer". The strategy is advocates and shared by the trader through his YouTube channel without restrictions.
Note :
This is not an investment recommendation. The purpose of this study is only to share knowledge with the community on tradingview.
What is the purpose of the strategy?
The strategy is to buy the 123-Stormer pattern at the bottom of an uptrend and sell the 123-Stormer pattern at the top of a downtrend, aiming for a short stop for a long profit target.
To which timeframe of a chart is it applicable to?
Recommended for weekly and daily charts, as the signals are more reliable, being that strategy a good option for swing and position trading.
What about risk management and success rate?
The profit target is established by the author as being twice the risk assumed. Also according to the author, the strategy is mathematically positive, reaching around 65% of success rate in tradings.
How are the trends identified in this strategy?
Two averages are plotted to indicate the trend, a fast EMA average with an 8-week close and a slow EMA average with an 80-week close.
Uptrend happens whenever the fast EMA is above the slow EMA and prices are above the fast EMA. In this case, we should start looking for a LONG entry based on the signal of the 123-Stromer pattern to buying.
On the other hand, downtrend happens when the fast EMA is below the slow EMA and prices are below the fast EMA. In this case, we should start looking for a SHORT entry based on the signal of the 123-Stromer pattern to selling.
How to identify the 123-Stormer pattern for a LONG entry?
This pattern consists of three candles. The first candle has a higher low than the second candle's low, and the third candle has a higher low than the second candle's low. In this pattern, we will buy as soon as a trade occurs above the third candle's high, placing a stop as soon as a trade occurs below the second candle's low, with profit target twice the risk assumed. In another words, the amplitude of the prices of the three candles from the third candle’s high upwards. (you can use fibonacci extension to determine your stops and profit targets).
Importantly, the low of the three candles must be above the fast EMA average and in an uptrend.
How to identify the 123-Stormer pattern for a SHORT entry?
This pattern consists of three candles. The first candle has a lower high than the second candle's high, and the third candle has a lower high than the second candle's high. In this pattern, we will sell as soon as a trade occurs below the third candle's low, placing a stop as soon as a trade occurs above the second candle's high, with profit target twice the risk assumed. In other words, the amplitude of prices of the three candles from the third candle’s low down (you can use fibonacci extension to determine your stops and profit targets).
Importantly, the high of the three candles must be below the fast average and in a downtrend.
Tips and tricks
According to the author, the best signal for both LONG or SHORT entry is when the third candle is a inside bar of second candle.
Backtest features
Backtest parameters are fully customizable. The user chooses to validate only LONG or SHORT entries, or both. It is also possible to determine the specific time period for running the backtests, as well as setting a threshold in candels for entry by the 123-Stormer pattern.
Furthermore, for validation purposes, you can choose to activate the best signal of the pattern recommended by the author of the strategy, as well as change the values of the EMA averages or even deactivate them.
Final message
Feel free to provide me with any improvement suggestions for the backtest script. Bear in mind, feel free to use the ideas in my script in your studies.
EMA SCALPEUR + RSi - SHORTthis indicator is about 4 EMAs, you can choose a cross under 2 EMA's for the entry end 2 others EMAs for the exit.
Plus I add a RSI function to be sure it doesn't take a short if RSI is under 40.
It's still in development
EMA SCALPEUR SHORTI'm trying to find the best EMA's for scalpingm you are able to choose 2 differents EMAs for your enter and 2 differents EMAs for you exit.
It's putting entry and exit on the graph
EMA SCALPEUR LONG V2THIS IS A TRY TO FIND THE BEST EMAS FOR SCALPING
YOU HAVE 4 EMAS, YOU CAN CHOOSE 2 FOR THE ENTER
This a try to find the best EMAs for scalping
you have 4 EMAs, 2 to find the best enter possible and 2 others to find the best way out possible
ComiCo - Joel on Crypto - MACD ScalpingThis is a modified (hopefully improved) version of the "Joel on Crypto - MACD Scalping" indicator. It got turned into a strategy, and added some extra filters, like number of trades after EMA cross, minimal EMA distance (EMA 50's distance from the EMA 200). It is just an experiment to see how good this scalping strategy can get.
Play around with it and let me know if you found good settings, or just have a comment on it.
I could get fairly good results on BTCUSDT 5m with these settings (all others left on default values):
Ticks Avg. Multiplier = 1.4
Max trades after EMA cross = 16
Limit Price Difference = 0
Take Profit = 0.0065
Stop Loss = 0.0085
Min EMA difference = 110
Pyramiding = 3
Swing Trading SPX CorrelationThis is a long timeframe script designed to benefit from the correlation with the Percentage of stocks Above 200 moving average from SPX
At the same time with this percentage we are creating a weighted moving average to smooth its accuracy.
The rules are simple :
If the moving average is increasing its a long signal/short exit
If the moving average is decreased its a short signal/long exit.
Curently the strategy has been adapted for long only entries.
If you have any questions let me know !
Linear Regression MA - Strategyusing the linear regression and linear regression MA to enter long and short positions.
3ngine Global BoilerplateABOUT THE BOILERPLATE
This strategy is designed to bring consistency to your strategies. It includes a macro EMA filter for filtering out countertrend trades,
an ADX filter to help filter out chop, a session filter to filter out trades outside of desired timeframe, alert messages setup for automation,
laddering in/out of trades (up to 6 rungs), trailing take profit , and beautiful visuals for each entry. There are comments throughout the
strategy that provide further instructions on how to use the boilerplate strategy. This strategy uses `threengine_global_automation_library`
throughout and must be included at the top of the strategy using `import as bot`. This allows you to use dot notation
to access functions in the library - EX: `bot.orderCurrentlyExists(orderID)`.
HOW TO USE THIS STRATEGY
1. Add your inputs
There is a section dedicated for adding your own inputs near the top of the strategy, just above the boilerplate inputs
2. Add your calculations
If your strategy requires calculations, place them in the `Strategy Specific Calculations` section
3. Add your entry criteria
Add your criteria to strategySpecificLongConditions (this gets combined with boilerplate conditions in longConditionsMet)
Add your criteria to strategySpecificShortConditions (this gets combined with boilerplate conditions in shortConditionsMet)
Set your desired entry price (calculated on every bar unless stored as a static variable) to longEntryPrice and shortEntryPrice. ( This will be the FIRST ladder if using laddering capabilities. If you pick 1 for "Ladder In Rungs" this will be the only entry. )
4. Plot anything you want to overlay on the chart in addition to the boilerplate plots and labels. Included in boilerplate:
Average entry price
Stop loss
Trailing stop
Profit target
Ladder rungs
Short Swing Bearish MACD Cross (By Coinrule)This strategy is oriented towards shorting during downside moves, whilst ensuring the asset is trading in a higher timeframe downtrend, and exiting after further downside.
This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to hodl this cash, or use it to reinvest when the market reaches attractive buying levels. Alternatively, you can use this when trading contracts on futures markets where there is no need to already own the underlying asset prior to shorting it.
ENTRY
This script utilises the MACD indicator accompanied by the Exponential Moving Average (EMA) 450 to enter trades. The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 11-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
The EMA 450 is used as additional confirmation to prevent the script from shorting when price is above this long-term moving average. Once price is above the EMA 450 the script will not open any shorts - preventing the rule from attempting to short uptrends. Due to this, this strategy is ideal for setting and forgetting.
The script will enter trades based on two conditions:
1) When the MACD signals a bearish cross. This occurs when the EMA 11 crosses below the EMA 26 within the MACD signalling the start of a potential downtrend.
2) Price has closed below the EMA 450. Price closing below this long-term EMA signals that the asset is in a sustained downtrend. Price breaking above this could indicate a bullish strength in which shorting would not be profitable.
EXIT
This script utilises a set take-profit and stop-loss from the entry of the trade. The take profit is set at 8% and the stop loss of 4%, providing a risk reward ratio of 2. This indicates the script will be profitable if it has a win ratio greater than 33%.
Take-Profit Exit: -8% price decrease from entry price.
OR
Stop-Loss Exit: +4% price increase from entry price.
Based on backtesting results across a selection of assets, the 45-minute and 1-hour timeframes are the best for this strategy.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
The backtesting data was recorded from December 1st 2021, just as the market was beginning its downtrend. We therefore recommend analysing the market conditions prior to utilising this strategy as it operates best on weak coins during downtrends and bearish conditions, however the EMA 450 condition should mitigate entries during bullish market conditions.
Chirag Strategy SMA with StopLossThe Moving Average Crossover trading strategy is possibly the most popular trading strategy in the world of trading. This strategy is a good example of so-called traditional strategies. Traditional strategies are always long or short. That means they are never out of the market. The concept of having a strategy that is always long or short may be scary, particularly in today’s market where you don’t know what is going to happen as far as risk on any one market. But a lot of traders believe that the concept is still valid, especially for those of traders who do their own research or their own discretionary trading.
This version uses crossover of simple moving averages of length 10 and 13. This strategy is best suitable for NIFTY and BANKNIFTY under 15min candlestick for intraday and 1hour candlestick for long-term.
BEST Strategy Template w/ Custom SL/TP Size - EducationalHello traders
I'm getting this question at least once per week: "how to define a custom exit quantity for my stop loss and a different one for my take profit"
Instead of answering every day the same question in my DMs, I've decided to publish an educational strategy template script using this
Features
- Select to use or not the SL and/or TP
- Define how many pips/USD the SL/TP should be set at from the entry
- Define what quantity percentage you want to close at SL and/or at TP (lines 301 to 320 in the code)
- Classical custom trailing stop where the SL is moved to breakeven once the TP is hit
- Get real-time backtesting stats based on the options you've selected
Update
You might not know it yet but from last week (or maybe the week before), the qty/qty_percent from the strategy.exit function refers now to the initial position size (and not the remaining position size like before)
For example:
strategy.exit("EX1", qty_percent = 50, stop = constant)
strategy.exit("EX2", qty_percent = 20, stop = constant)
What happened before
After "EX1" reaches SL levels, "EX2" exits 20% from the % of the remaining position size.
If the initial position size = 100 contracts
EX1 exits 50 contracts
EX2 exits 20% of 50 contracts = 10 contracts
What's happening now
After "EX1" reaches SL levels, "EX2" exits 20% from the % of the original position size.
If the initial position size = 100 contracts
EX1 exits 50 contracts
EX2 exits 20 (20% of 100 contracts) contracts
I think this is an improvement and I really enjoy this new behavior.
See you in a few days with another post :)
ALL THE BEST
Dave
RSITrendStrategyI don't know if there is any strategy based on RSI cross over. The strategy is designed based on RSI crossover, considering RSI(5) and RSI(11), with RSI(6) to identify highs & lows.
I used this strategy to trade in Nifty 50 & Nifty bank indices. Whenever there is long mentioned on chart, I go for buying call option with premium near to 300, and placing stoploss of 50 on candle closing basis, vice versa.
Target is open until short is mentioned on the chart. Sometimes, i used standard pivot points as well to mark my targets and also to trail my trades.
Customizable OCC Non Repainting Scalper Bot v7.0bThis strategy is intended to be used on an automated trading platform and should be run on a one minute chart for fastest confirmations and signal relay to crypto automation platform. The strategy has been modded to only go long at this time to focus on profitability for one direction. The open long and close long text fields allow you to use your own webhook message for this purpose.
I have spent quite a bit of time and I figured I would put it out to the community to share the work and also get some feedback.
Ok, so let me say that I have done absolutely everything I can to make the strategy not repaint while still maintaining it's profitability. It has been a challenge so I am publishing this to the community to help test this.
What I have observed: the strategy will not repaint in real time. That is, if you have the chart open and keep it open, the signals are the same as the ones that are sent out by the strategy. In certain cases, when I reload the chart- the signals might be off from what was sent. In some ways, that is repainting, but it is repainting based on losing the real time data and recalculating from a different set of bars- since I am running it on a one minute chart then the start becomes different when you refresh.
To address repainting while keeping the strategy calculating as quickly as possibly I have altered the logic in the following ways:
I have made an assumption which might not work for everyone- at the first tick of the next bar, you can almost safefly assume in crypto that if you are looking at the previous bar for information, the open of the current bar was the close of the previous bar. This for the most part holds true in crypto with good liquidity. If you are trading a pair that jumps around due to low volume- this might not be the strategy to use. I might publish a different version with a different logic.
I have altered the security repaint to use isbarconfirmed, so at the very end of the bar (as soon as the bar is confirmed), we recalculate to the higher time frames. So as soon as the data is available, it is at that point that we can then safely calculate higher time frames. This is unique and experimental, but seems to do well at creating good signals for entry.
I have employed my own intervals by utilizing the resolution as an integer (used by the previous authors)- but in this case, I use the interval to take a snapshot of the higher time frame. With open close cross, the different moving averages can cause the repainting as they change to show the exact point of the cross. The interval feature I created minimizes this by utilizing the previous bar info until the interval is closed and then we recalculate the variants. You can use the interval offset feature to denote which minute is the one that starts and ends the interval. So for instance, Trading View uses minue 1 and minute 31 for 30 minute intervals. If you offset your 30 minute interval would start on minute 16 and do its calculations based on the last 30 minutes,
As with most of my scripts, I have started using filters and a "show data" feature that will give you the ability to see the values of indicators that you cannot plot in the overlay. This allows you to figure out how to filter losing trades or market conditions.
I have also added a trailing stop and created a fixed stop loss as seems to perform better than the original occ strategy. The original one seemed to repaint enough that it would close too quickly and not give the posiition enough time to become profitable. In certain cases where there was a large move, it would perform well, but for the most part the trades would not close profitably even though the backtest said that it did - probably due to the delay in execution and pinescript not having a confirmation on what the actual position price was.
This is still in beta mode, so please forward test first and use at your own risk.
If you spot repaint issues, please send me a message and try to explain the situation.
Cipher B divergencies for Crypto (Finandy support)Hello Traders!
In times of high volatility, it is important to follow a market-neutral strategy to protect your hard-earned assets. The simple script employs common buy/sell and/or divergencies signals from the VuManChu Cipher B indicator with fixed stop losses and takes profits. The signals are filtered by a local trend of a coin of interest and the global trend of Bitcoin. These trends-filtered signals demonstrated better performance on most of the back- and forward- tests for USDT cryptocurrency futures. The strategy is based on my real experience, it's a diamond I want to share with you.
In terms of visualization if the background is red and the price is below the yellow line then only a short position can be opened. Conversely, if the price is above the yellow line AND the background is green only a long position can be opened.
Inputs from VuManChu you can find on the top. Frankly, I do not know how they can help you to improve the performance of the strategy. My inputs of the script you can find in "Trend Settings" and "TP/SL Settings" at the bottom.
The checkbox "Only divergencies" lets to broadcast only more reliable buy/sell signals for a cost of rare deals.
The checkbox "Cancel all positions if price crosses local sma?" makes additional trailing stop loss. Usually, this function increases the win rate by "smoothing" the risk/reward ratio, as a usual stop loss does.
You can tune SL/TP based on backtesting.
To connect the script to Finandy just edit "name" and "secret" to connect your webhook (see the bottom of the script).
The rule of thumb for the strategy is "only divergencies" - ON, high reward/risk (TP/SL) ratio, 5 min timeframe on chart help with performance.
Finally, I am looking forward to feedback from you. If you have some cool features for my script in your mind, do not hesitate to leave them in the comments.
Good luck!
SPX Scalping StrategyThis strategy points out good entries and exits to go with the direction of SPY
Used with:
Ticker: SPX 500 USD
Heiken Ashi Candles
1, 3, 5 min timeframe
Profitable Contrarian scalpingUses the 5 period and 10 period VMWAs that have been smoothed with a 5 period SMA of the close price. Normally, a short crossover long formation signals a buy signal, but as scalpers know, the 1 minute chart moves so fast and with so much volatility that lagging indicators get wrecked by the market. According, this strategy operates under the assumption that by the time this lagging indicator makes a signal, the price is ready to reverse. Losses are taken swiftly in the case of a continuation pattern. This indicator averages a 55-65% profitable rate and is almost always a positive P/L on the 1 minute chart of the most commonly traded assets.
Of course, there may be validity for this indicator outside the 1 minute chart, but I have found such success to be very limited. Accordingly, use this indicator on SPY, TQQQ, TSLA, AMZN, and major cryptos on the 1 min chart.
Booz StrategyBooz Backtesting : Booz Backtesting is a method for analyzing the performance of your current trading strategy . Booz Backtesting aims to help you generate results and evaluate risk and return without risking real capital.
The Booz Backtesting is the Booz Super Swing Indicator equivalent but gives you the ability to backtest data on different charts.
This is an Indicator created for the purpose of identifying trends in Multiple Markets, it is based on Moving Average Crossover and extra features.
Swing Trading: This function allows you to navigate the entire trend until it is not strong enough, so you can compare it with fixed parameters such as Take Profit and Stop Loss.
Take Profit and Stop Loss function: With this function you will be able to choose the most optimal parameters and see in real time the results in order to choose the best combination of parameters.
Leverage : We have this function for the futures markets where you can check which is the most appropriate leverage for your operation.
Trend Filter: allows you to take multiple entries in the same direction of the market.
If the market crosses below the 200 moving average, it will take only short entries.
If the market crosses above the 200 moving average, it will take only long entries.
Timeframes
Charting from 1 Hour, 4 Hour, Daily, Weekly, Weekly
Markets :Booz Backtesting can be tested in Cryptocurrency, Stocks and Futures markets.
Background Color : at a glance, you can see what cycle the market is in.
Green background : Shows that the market is in a bullish cycle.
Red background: Shows that the market is in a bearish cycle.