Adulari ATSAdulari's Automated Trading Strategy combines more then 10+ innovative indicators and is carefully designed to provide honest and accurate backtesting results. We created and optimized this strategy to provide realistic results, not insane backtesting results that are very inconsistent and unrealistic. It is made for swing trading on the 15m timeframe. It is recommended to use the BYBIT:BTCUSDT pair.
This strategy has been thoroughly backtested throughout 2 years in order to provide optimal results.
ATS was designed to provide live results close to those of backtesting. It has been ensured this strategy is not overfitted.
Our strategy works in any market & allows users to:
Automate their trades using our alert system and integrations.
View realistic backtesting results.
Filter trades in irregular price action using our trend filters.
And many new features that can be found in the changelog below.
Our strategy detect the direction of trends for any asset & on any timeframe allowing traders to increase their confidence in positions and follow trends.
This strategy is built to be very profitable when used for long time periods. Compounding will make profits very solid.
We give our users the possibility to adjust the settings of the strategy to market price variations, as well as the option to make them less sensitive to irregular price movements so that it only trades predictable price action.
Save time by automating everything!
The strategy's settings play an important role towards profitable trades, however, the constant adjustment of these is not necessary since no overfitting is in play.
We made our strategy as flexible as possible in order to allow it to adjust to internal market dynamics, thus completely removing the need for traders to adjust any settings. We offer multiple setting profiles that are optimized for a certain market, with lower or higher risk.
If you are using this script you acknowledge past performance is not necessarily indicative of future results and there are many more factors that go into a profitable trade.
Automated-trading
Oversold RSI with Tight Stop-Loss Strategy (by Coinrule)KRAKEN:LINKUSD
This is one of the best strategies that can be used to get familiar with technical indicators and start to include them in your rules on Coinrule .
ENTRY
1. This trading system uses the RSI (Relative Strength Index) to anticipate good points to enter positions. RSI is a technical indicator frequently used in trading. It works by measuring the speed and change of price movements to determine whether a coin is oversold (indicating a good entry point) or overbought (indicating a point of exit/entry for a short position). The RSI oscillates between 0 and 100 and is traditionally considered overbought when over 70 and oversold when below 30.
2. To pick the right moment to buy, the strategy enters a trade when the RSI falls below 30 indicating the coin is oversold and primed for a trend reversal.
EXIT
The strategy then exits the position when the price appreciates 7% from the point of entry. The position also maintains a tight stop-loss and closes the position if the price depreciates 1% from the entry price. The idea behind this is to cut your losing trades fast and let your winners ride.
The best time frame for this strategy based on our back testing data is the daily. Shorter time frames can also work well on certain coins, however in our experience, the daily works best. Feel free to experiment with this script and test it on a variety of your coins! With our back testing data a trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume. In the example shown, this strategy made a handsome net profit of 52.6% on Chainlink with 66.67% of trades being profitable.
You can execute this strategy on your favorite exchanges with Coinrule .
XBTUSD (45m) - swingbot alertsTo accompany my swingbot script to allow alerts - for automated trading via autoview
BB/StochRSI Strategy Backtest For Crypto BotThumbs Up for access
Buy is triggered when the price reaches chosen percent of lower Bollinger Band, Stoch RSI is oversold and there's a K/D signal crossover. The exit is when StochRSI is Overbought or K/D Crossover (toggle) AND/OR (toggle) price is greater than or equal to Top or Mid Bollinger Band (toggle).
Use 15m charts. It works excellent for consolidating/sideways markets and good for bullish impulsive moves but takes losses during impulsive downside market moves.
Results will be better in real-time. The script calculates the price based on the close, but a bot would calculate in real-time. Entries would be better. I recommend manually testing the strategy by using the "Date and Price Range" tool in TradingView.
I'll share the source code to those who wish to collaborate for improving profitability.