RSI Strategy w/ Trailing SL / TP Optimized for Crypto [Strategy]This strategy is designed to use the RSI and EMA filters. A 200 period EMA is used for short / long filters, and the 50 period EMA is used to determine the direction of the short term trend.
In addition, the script uses "rate of change" for the fast EMA (trend), volume , RSI (momentum), and price (volatility) and only takes trades when all are in optimal conditions.
I.E., the EMA is in an uptrend, the volume is increasing, price is in an uptrend, and the RSI is in an uptrend, so we will place a Long trade.
This strategy uses EMAs as a trailing stop loss and take profit. As this is a trend following strategy, the idea is to maximize profits when correct and minimize losses when
wrong.
It was designed specifically using crypto pairs, and was optimized for the 10 minute chart.
My goal was to get the best use out of the RSI indicator. I was originally an MACD fanboy, but have recently converted.
Want to help me improve this code or strategy? Have suggestions for improvement? Leave them in the comments below.
Thanks for using my script! I hope it works well for you and good luck in the markets.
If you have any questions, please leave them in the comments and I'll do my best to respond.
This script does not repaint as it only relies on close data to make a decision to enter a trade.
How to use this strategy:
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Enable Long Entries? - Used to enable or disable the strategy from executing long entries.
Enable Short Entries? - Used to enable or disable the strategy from executing short entries.
How Many Bars To Look Back for Hi/Lo: - This is used for the Stop Loss and Take Profit targets. An integer of bars is used to look back and calculate the values.
RSI Length (Rec: 8) - The length of the RSI
Source - The RSI Source
Use Slow EMA? - If checked, a 200 period EMA will be used to filter entries long or short (only take shorts when the price is below, long when above). In addition, the script will close any trades that cross the 200 period EMA. By default this is disabled.
EMA Slow - the period of the Slow EMA (200 by default)
EMA Slow Src - what to use to calculate the Slow EMA (high by default)
EMA Fast - The Fast EMA (50 period) is used to calculate the direction of the short term trend. This also factored into the Rates of Change.
EMA Fast Src - what to use to calculate the Fast EMA
ATR Length - If used, the ATR length is used to calculate the Stop Loss and Take Profit targets.
SL Multiplier - The distance away from the initial value to multiply the Stop Loss
TP Multiplier - The distance away from the initial value to multiply the Take Profit.
Use EMA as SL / TP? - If true (default) a 3 period EMA is used to calculate Stop Loss and Take Profit targets. Else, an ATR is used to calculate these values.
Stop Loss / Take Profit Offset - Default: 3 - this is used to shift the EMA / ATR Stop Loss and Take Profit lines to the right X bars. This is to ensure that they are hit properly and not exceeded.
Short Len Vol - Use to calculate the volume of the short length, used in rate of change calculations
Long Len - Use to calculate the volume of the long length, used in rate of change calculations
RSI Long Entry Val - Minimum RSI crossover value to enter a trade Long. If the RSI is below this value, trade entries are not valid.
RSI Long Cutoff Threshold - Long entry RSI value cutoff to no longer enter trades. If the RSI is above this value, trades entries are not valid.
RSI Short Entry Val - Minimum RSI crossover value to enter a trade Short. If the RSI is above this value, trade entries are not valid.
RSI Short Cutoff Threshold - Short entry RSI value cutoff to no longer enter trades. If the RSI is below this value, trades entries are not valid.
ROC Fast EMA - Calculates the rate of change between the Fast Ema now and 'X' bars ago. \n\n For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
ROC Price - Calculates the rate of change between the most recent price close and 'X' bars ago. \n\n For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
ROC RSI - Calculates the rate of change between the RSI now and 'X' bars ago. \n\n For a long entry, a positive value is needed, and for a short entry, a negative value is needed.
Use Close for SL - Default = Off - If checked, when a candle hits the stop loss, the trade will close on the next candle. If unchecked, the trade will remain open until the candle closes at or beyond the stop loss lines.
Custom Message Boxes - Primarily used for bots, but can be used to also insert your own messages for your trading alerts.
Komut dosyalarını "bot" için ara
Saper Aude [Strategy]Sapere Aude Strategy
Trend based scalping strategy, to work on lower timeframes (15Minute - 1 Hour)
Calculations on ATR, strategy uses extra conditions to help filter out bad trades.
How to use the strategy?
Simple as when green line shows below, that can be either a good entry point or a signal to start building limit orders on the plot.
I use the ATR as a trailing stop loss for exit.
vica versa for entering shorts. The strategy is only set up to take long positions though.
This is a great scalping strategy for bots in Ranging or up trending markets.
This scripts has 5 variations built within it which are fitted for certain coins & their timeframes
The coins included are
BTC/USDT 1 Hour
ETH/USDT 1 Hour
ADA/USDT 30 Minutes
DOGE/USDT 15 Minutes
LUNA/USDT/15 Minutes
The Strategy backtest results includes Fess and there is NO Repaint! The script is written in Version 4
There is an option in the settings cog to choose from the 5 coins and their timeframes where they have been optimised
There is also an option to change the backtesting range
The stop Losses are also adjustable and listed under the settings
The strategy performs best on the Binance listings
EMA RSI ATR Hidden Div Strat - 1 MinHey there!
Hereby I present you the EMA RSI Lowest Low Hidden Divergence strategy, which I discovered on a youtube channel.
He has tested the strategy hundreds of times manually, herewith I try to automate the whole thing.
Since I use the strategy with a bot, it can only enter long positions for now. But in the future I will add the possibility to trade short positions.
The strategy was tested with BTC/ USDT in 1m chart (8 days). The values must be adjusted depending on the timeframe and coin.
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How does the strategy work?
First of all, we need a bullish hidden divergence.
Once this is detected, the following parameters are checked:
The 50 EMA must cross the 250 EMA .
Then, the candle must close above the 50 EMA .
The K line of the RSI STOCH indicator need to crosses the D line.
If the next candle closes above the 50 EMA , a long position is opened.
The stop loss is determined with the "lowest low/highest high lookback".
The profit factor is multiplied by the value of the lowest low/highest high lookback.
The results of the strategy are without commissions and levers.
If you have any questions or feedback, please let me know in the comments.
In the future I will add other types of stop loss / take profits. (ATR; %; eg.)
I wish you good luck with the strategy!
Crypto Strategy for Bearish Markets (Binance, FTX, Futures...)BINANCE:BTCUSDTPERP
Even in months like May '21 you can win by going long on Bitcoin. This strategy proves it and is not overwhelmed by Elon's ...
The backtest was carried out during the month of May of this year and, as you can see, all the long operations opened during the fall were successful.
So if we are going to continue to have a bear market for some time, why not take advantage of it while we remain bulls?
This strategy uses Dollar-Cost-Average (DCA) to average the entry price. Thanks to this, it is able to close profitable trades even in times of great volatility and bearish pressure.
It includes alerts that can be configured that will be sent every time the conditions to operate are met. These alerts can also be linked with 3commas for a fully automatic operation.
For Leverage Futures or Margin traders, all you have to do is divide the initial capital by the leverage used.
Enjoy!
HMA_ATR StrategyATR with HMA experimental minimalist bot for ETHBTC .
A strategy for use by Automated Algorithm systems.
Different from normal ATR as it uses HMA for smoothing.
Example settings result shown here on chart include commission 0.5%
Ganntime Grid Bot Long Strategy with frostybotThe grid strategy customized specifically for Frostybot. It use the tradingview webhook implement the safe orders mechanism of 3commas, and different position sizes can be selected according to the market direction. Currently, only long is supported.the default configration is suitable for some pair.but you can change it by yourself. Everyone is welcome to experience.
All in One StrategyTrue improvement over my previous script. This script adds in all of the complementary indicators, makes it truly easy to adjust the inputs, and has produced a real world net gain using the TradingView bots paired with any broker's API that is supported.
It has a selection for which strategy you'd like to use and due to limitations in Pine I cannot program in logic to make sure you only pick one, so you need to make sure you are only picking one.
To tweak the Connors option - it only depends on the RSI length variable, everything else is hard coded and tweaked for Crypto.
To tweak the MACD - play around with the min and max values of the RSI for lookback and the amount of candles to lookback. Then tweak the fast and slow MA lengths. I have found that a fast length of 3 or 4 and a slow length between 6 and 10 will yield the highest gains.
Also, when I was a young Noob I thought using a chart timeframe of 5 minutes was the best...no...no it wasn't. I lost my ass. Don't lose yours. I highly suggest sticking with a 30 minute timeframe, you will minimize losses caused by false triggers, have less trades and higher profits. More is not always better, trades that may sell one day and then buy six days later are normal. Leave it do its magic and you'll be very happy in the end.
Dales BarUpDn Strategylong and short buy orders. the option to connect a 3commas bot to it with just the settings box
3commas BNB/USD 1H Strategy*** DISCLAIMER ***
This script is speculative - it uses a highly aggressive model and may not make you money. It has worked well for me so far but you need to do your own DD and make your own decisions. I accept no liability for anything that happens as a result of using this script. Use this at your own caution.
My first published work! I took a few concepts I found in other scripts, tweaked them to match what I had in mind, added some ideas of my own and then added 3commas hooks. Essentially this script is a variable MACD indicator with linear regression and a lot of curve smoothing. It will buy and sell like any other MACD indicator, though it won't exactly match the MACD line you will see on regular MACD indicators due to the smoothing and linear regression. The stop loss should prevent the biggest losses though you will still lose some rounds as this is very aggressive. The parameters I have set up here work best for BNB however feel free to experiment with other coins. The linear regression is set high by default which is what I've found works best for BNB/USD.
Charts should be set to BNB/USD 1HR. I used Binance.us as I was building this but you should have success using other exchanges that offer BNB as well.
This script is set up to use with a 3commas DCA bot though you need access to the entire script in order for that to happen. You can add it and manually place orders or use alarms to test. If you want full access so you can set your 3commas alerts, message me and we can figure something out!
Excitement - Crypto Surfer v1For those of us who need more excitement in our crypto journey besides just HODL, here’s a simple crypto robot that trades on the hourly (1H) candles. I call it the Crypto Surfer because it uses the 20 and 40 EMAs (Exponential Moving Averages) to decide when to enter and exit; price tends to “surf” above these EMAs when it is bullish, and “sink” below these EMAs when it is bearish. An additional 160 SMA (Simple Moving Average) with slope-angle detection, was added as a bull / bear filter to reduce the sting of drawdowns, by filtering-out long trades in a prolonged bear market.
USER NOTES:
- This script will buy $10,000 USD worth of crypto-currency per trade.
- It will only open one trade at a time.
- It has been backtested on all the high market cap coins such as Bitcoin, Ethereum, Binance Coin, Polkadot, Cardano.
- It should be run on the Hourly (H1) chart.
- In general, this moving average strategy *should be* profitable for 80% to 90% of the coins out there
- The 160 SMA filter with slope angle detection is designed to stop you from going long in a bear market.
- It is recommended you copy this script and modify it to suit your preferred coin during backtesting, before running live.
- Trading is inherently risky (exciting), and I shall not be liable for any losses you incur, even if these losses are due to sampling bias.
Ganntime Grid Bot long strategy This is a simulating 3commas grid and DCA robot strategy implementation. In AI mode, the default grid width of btc is 500, and the default grid width of eth is 25. Anyone can use it for free. You can also cancel the AI mode option and manually set the grid size and grid width. The initial order, safety order size, stop loss and take profit parameters are consistent with the configuration and usage of 3commas dca bot.
The Box Percent StratHi guys,
Version Zero (more work needed) of an idea I've been meaning to out into a strategy for a while. 🤯
This uses percent boxes🤔 instead of traditional indicators like RSI, MACD etc. 🤫
Takes the first close price of the series and creates a Top Band 10% up, buys if price reaches that level, and puts a stop on a Bot Band, 10% down
When the first trade is in profit by another 10%, it enters another trade and moves the stop of the first trade to breakeven ~ this way it only has one unit of risk at a time
/// Designed for LONG only on Daily, 2D or 3D Charts👌🏻
/// Uses fixed investment risk amount, meaning you're willing to lose that amount per trade
/// Limit buy to not overpay on entries
/// Idea Based on the Darvas system:
/// System only enters trades on strength, when prices equals of exceeds the green line
/// It ads onto the trades, but only *IF* the previous trade is in profit by the UpBoxSize percent size
/// The trailing stop loss is moved up, with the red line
/// A key idea is to only take one unit of risk at a time, meaning for a new add on trade to be taken, the previous trade should be in profit by the same box size as the new new trade's stop loss
/// This will keep adding trades again and again, and they will stop out at the same stop loss
/// Yellow Circles is an MA that filters out choppy areas -- this system only does really well on trending linear markets like: TQQQ, SSO, SPX, SPY
/// Base setting is 10% UpBox Size and 10% DnBox Size: 15% & 15% will be more accurate but fewer signals. 13% profit and 10% stop loss will give a higher risk to reward ratio
Linear trendThis oscillator based on linear regression . By subtracting the slower LMA from the faster LMA we can get a value, which we will further compare with zero. If the resulting difference is greater than 0, then we can assume that the trend is upward. Also by using offset we could increase the expected profit (focusing on backtest data).
You could get access for this script by the link below.
Ninja Scalping: StrategyThis is a strategy version for scalping signals. The objective of these signals is to accumulate more BTC through buying and selling of Altcoins. Thus, it is expected that these signals yield BTC gains when the crypto market has bullish days, as when BTC bleeds, other coins bleed even more. Let us get ready for the altseason!!
As mentioned above, the goal is to increase BTC's holdings through buying and selling of Alts. However, different Alts react differently against BTC. Therefore, there is no set of parameters that works for all Alts. The good news is that I tried my best to limit the number of parameters required to be tuned for a specific Alt to two. Also, this strategy helps back-test and tune the parameters for the desired Altcoin, with no guarantee that what happened in the past would happen in the future. This strategy is generally conservative, and it does not enter many trades. However, you can be more aggressive by changing the multiplier value: the smaller the value, the more aggressive the strategies. One can be more aggressive when the market is super bullish. Actually, you can test this by playing with the dates for the back-testing to have an idea of what would be suitable parameters when BTC is strong or weak. For the image attached, the strategy is back-tested from Jan 1, 2021, to March 18, 2021, assuming an initial capital of 1 BTC.
For the time span parameter, typical values are 5, 10, 14, 21, 34, 50, and 100. For the multiplier, typical values range between 0.01 and 2.
Use it at your own risk. Feedbacks are more than welcome. Happy trading!
[GBPUSD] DinhChienFX Swing [2 orders]* Take advantage of the 59% success rate of order 1 to enter position 2 with a higher Risk / reward ratio,
- Command 1: risk / reward 1/1. 59% success percentage.
- Order 2: risk / reward: 1 / 1.5 If you use Fibonacci retracement, it is 0.6 or 60%. Percent success 51.5%.
- Percent profitable 2 orders: 55%
- Number of consecutive wins in the past: 9.
- Number of consecutive losses in the past: 6. So to avoid psychological influence, choose risk = 1% x6 = 6% for 1 trading signal.
Currently, the Bot assumes 2% (orders 1: 1%, orders 2: 1%)
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Max risk: 2%.
1. Trend identification:
... Keltner: Price through Upper1 / Lower 1 gives 1 point.
...... Uptrend: If price crosses over once, the close on Upper 1.
...... Downtrend: If the price crosses under once, closes below the Lower 1.
... Stochastic:
..... D> 67 for Buy, D <16 for Sell
... ADX: 30 indicates strong trend trend.
...... ADX smooth: 7.
...... DI length: 7.
2. Entry point:
... Buy (BUY): When k cut up D in an uptrend, when D> 67.
... Sell (SELL): When k cuts D in a downtrend, when D <16.
Bollinger Band with RSI
Using combination bollinger band and RSI indicator as guide to predict price volatility and the best entry point. The strategy logic is pretty straightforward where we're interested with close price that touches the lower bollinger band ; there are only two scenarios that will happened after the price reaches the lower band; the price might rebound from the lower bollinger band or drop lower and continue downtrend. To confirm the price movement, we use a second indicator which is the RSI to further investigate the price trend. For example, if the price reaches the lower bollinger band but the RSI value is not in the oversold region, we can conclude that the price will go lower and continue downtrend. If the RSI value is in the oversold region, we can use this price area as our entry point.
Stop loss is necessary to avoid losing too much capital if the RSI value lingers too long in the oversold region.
Best take profit area is when the price rebound above the middle bollinger band area/upper bollinger band or when the RSI reaches overbought region; whichever comes first.
Long entry:
RSI < 30 & close price < lower bollinger band
Exit entry:
RSI > 70
Default stop loss: -25%
Trend Catcher BotTrend analysis strategy with entry filters such as MACD and Tilson T3. It will look at possible entry points and it can use MACD or TilsonT3 filters to decide whether or not enter in a new trade.
Notes:
- Results include a 0.075% Fee.
- Simulated leverage of 5x.
- Initial Capital of $1000.
- Uses a max order size of $200k per trade (Leverage included).
- Stop loss of 1.15%.
- The stop loss is moved to 0.4% Profit once the Trade reaches 1.15% profit.
- All settings adjustable.
- Non Repainting.
Quansium Series A BacktestThis comes with preconfigured setups or strategies. Simply choose one from our list based on the timeframe it was made for. Leverage can be changed; to keep trading safe, a maximum of 2 is allowed. In our findings, this was able to trade crypto (specifically BTC ), MES (Micro E-mini S&P 500 Index Futures ), and stocks. It is important to know that setups A, B, C, and D use variable position sizing, and dynamic stop loss/trailing stop/take profit, these parameters are provided through the alerts. The rest of the strategies were created with a simpler approach in mind, just plainly entry/exits signals.
Quansium as a framework:
Price reformat: we take the price source (Open, Close, High, Low) and remove any noise that affects the accuracy of our signals.
Time awareness: we take several time periods of the data on the chart such as start, end, and whole. We use this to add more depth to our signals.
Position size: our backtest tries to recreate as much as the real world trades as possible so our position is determined by the current equity. We also use the volatility of the market to increase or decrease our exposure or risk.
Risk awareness: stop loss, take profit, trailing stop are the risk exits we use to provide our users some peace of mind. These parameters are totally dynamic and follow the same behavior of the market.
Signals filtering: to make almost non-existent any errors and increase the quality of our trades, our indicators go through multiple phases, this avoid double entries or early exits, and help maintain a record of what has transpired and what’s currently taking place.
Indicators: whenever we can we use custom code or our own functions instead of the defaults ones provided. This gives us total control of what we’re trying to achieve. In many cases we tend to combine several indicators’ logic into one creating a more personalized take on it.
Easiness: since we started our main goal has been to provide the easiest and fastest way to alerts’ creation. It has taken us years to reach this level where now we already provide a list of preset strategies so the user doesn’t have to spend much time tinkering with scripts and more on other matters, because we know life is more than just trading.
Raw signals: we provide the option to turn off as much of our advanced features such as stop loss, take profit, trailing stop, dynamic sizing, etc, etc for a simple approach. Trade signals still go through the signals filtering method mentioned above,
Timeframe pairing: we take trading very seriously, by no way we’ll want the user to lose money (although such thing is expected because past results aren’t an indicative of futures ones), through years of experience we have found what are usually common mistakes the user makes, this feature allows us to only activate the strategy if the right timeframe is chosen.
Trend filters: through the years we have improved the arts of the trend. We like to keep things simple but yet powerful. We observe the macro and micro trend of the security. This helps confirm we are entering at the desirable timing. We also incorporate volume and volatility into decision making, we simply programmed it to trade when these are increasing and higher than the average values observed in both the short and long term. Finally we take into account the strength of the pair to make our final choice of whether to enter or wait, and if anything flashes contrary movement then we cancel the upcoming signal and stop monitoring until the next one comes along.
Full automated risk: stop loss, take profit, and trailing stops usually are set in percentages, and optimized even more using the current market behavior to become more adaptive. But always remains some sort of fixation, so the user must choose a value somewhere. This is where our framework shines the most, as previously mentioned before when we take time into our calculations, we use several periods to observe performance and get values that keep our risk exits natural and closest to the flow of the market itself.
Setups:
A: Centered oscillator with the difference of several moving averages with more sensitive settings. Momentum focused.
B: Centered oscillator using simple moving averages. Trend-Following focused.
C: Centered oscillator using smoothed data with the help of faster moving averages. Trend-Following focused.
D: Centered oscillator with the difference of several moving averages with less sensitive settings. Trend-Following focused.
E: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses less sensitive settings. Trend-Following focused.
F: Finds the relationship between multiple readings of the price’s relative strength to better pin-point downs and ups. Trend-Following focused.
G: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses more sensitive settings. Momentum focused.
H: Multiple centered oscillators using various moving averages. Trend-Following focused.
I: Centered oscillator using simple moving averages. Momentum focused.
Note: The framework is composed of almost 1000 lines of code as compared to each indicator that makes up the setup which is around 10. The power from Quansium doesn't come from the strategies themselves but rather the overall system that turns simple signals into complex and advanced trades.
Strategy Tester:
Initial Capital: chosen value is $20,000, as an approximate to Bitcoin’s ATH (All-Time High). In previous iterations we noticed some trades won’t go through if the capital was less than the ATH.
Order Size: 100% of equity (although the script controls this, and this is of no regards to the results).
Pyramiding: 1, system doesn’t place multiple entries in a row, only one at a time.
Commission: This simulates order execution with custom trading fees. Commissions are turned off by default because this script works in various markets and each operates differently. In order to reach results that are close to real world conditions, it is imperative the user fills this based upon their broker or exchange data.
When we started, we were focused on finding the best indicator, or creating it ourselves. After years we came to realize that the secret is not in which indicator you use but the framework behind it. All strategies have bad, good, best, worst performance periods. The key of a good system is to help keep you safe when it’s down and maximize your potential when it’s up. We hope this material at the very minimum inspires you to keep going and not lose faith, because it is not the smartest who win but those who persevere.
BTCUSD 30MIN TREND STRATEGYBTCUSD 30MIN TREND STRATEGY.
This strategy signals is based on the market close price and calculate for buy and sell signals. it uses composite technical algorithm to filter out the best buying and selling points.This indicator should be used to see trend, range zones, evaluate the best areas to enter the market, use only 30 MINUTES and BTCUSD and only bitcoin derivatives BTCUSDT perpetual or inverse etc. Can use spot or future markets
It designed for automatic crypto trade bot systems. You can use alarms from webhook setting up for your bot.
For use message me.
Short In Downtrend Below MA100 (Coinrule)This is a simple strategy to take advantage of downtrends. It's useful to run such a strategy as a hedge in times of market uncertainty.
The Sell Condition - Entry
The sell signal triggers when:
the coin has MA (100) greater than the price in a timeframe of 15 minutes, meaning that the coin is in a short-term downtrend.
the coin has an RSI greater than 30 in a timeframe of 15 minutes, indicating that it didn't reach oversold conditions yet, so there is still room for a further price drop.
On Coinrule, you can launch the strategy on real market conditions, setting up multiple sequential sell orders. The strategy would keep selling while the price stays below the MA(100). In that case, it's advisable to set low amounts for the sell orders. the position will grow gradually while the downtrend intensifies. Set a minimum time interval between the sell orders will also help to have control over the overall position size.
The Buy Condition - Exit
The bot connects to each trade a stop loss and a take profit. The percentages are optimized for short term trades on mid-cap coins. You can adjust the percentages depending on the specific coin you are trading. A ratio of 1:1.5 between the stop loss and the take profit could work as the strategy trades in the same direction of the trend.
Stop loss at 3% from the entry price
Take profit at 2% from the entry price
A slightly larger stop loss allows tolerating more volatility to reduce the case of stops triggering when it shouldn't.
[astropark] DMI/ADX strategy [strategy]Dear Followers,
today I'm happy to share with you my DMI / ADX Strategy .
It provides directional trend information, so if a bullish or a bearish trend is going to start. Statistically it works better on lower timeframes (from 5 minutes to 1 hour).
It is both a Swing and Scalping Strategy indicator , based on a simple trend following theory , good for trading FOREX, Indexes, Stocks, Commodities and Cryptocurrencies.
To help in Taking Profits, the strategy integrates 2 special other than bull/bear signals:
Overbought and Oversold RSI Signals , which appear both as darker background (the darker the color, the more the price is in overbought/oversold) and green "ob"-"tp" / red "os"-"tp" labels (they optionally pop up only on a configurable stronger overbought/oversold condition) (you can enable/disable it optionally)
Peak Profit Tracker , which resets every time a new trade starts and keeps track of price fluctuation during the trade: the message is don't be too greedy and take profits or lock them with a stoploss in profit (you can enable/disable it optionally)
You can edit many options in order to
have more/less bull/bear signals
enable/disable showing bull/bear signals
enable/disable showing RSI TP signals (you can edit RSI length, overbought (OB) and oversold (OS) levels)
enable/disable showing peak profits on each trade
The user who wants to use this strategy, especially via an automated bot, must always set a stoploss (example 150$ from entry on bitcoin ) or use a proper risk management strategy .
This is not the "Holy Grail", so use it with caution. It's highly suggested to use a proper money management .
This script will let you backtest performance of the indicator based on bear/bull signals.
You can find the alarms version by searching for my DMI / ADX Strategy and choosing the "alarms" named.
Here there are some examples how this DMI / ADX strategy works on many markets:
LTC/USDT 15m
BTC/USD 15m
BNB/BTC 15m
ETH/USD 15m
GOLD (XAU/USD) 15m
GOLD (XAU/USD) 1h
FB 15m
AAPL 15m
TSLA 1h
BANKNIFTY Index 5m
NIFTY 50 Index 5m
This is a premium indicator , so send me a private message in order to get access to this script .
