Bot go_up strategyHello. This strategy is based on go_up alerts.
Our task is to find the local minimum. The trade is entered on the basis of RSI and SMA according to a specific formula, which is embedded in the code. When the RSI crosses the SMA upside down, a long position is entered. You can change the length of the RSI . The longer the length, the less frequent, but more accurate the entrance, and vice versa. You can use a different time frame.
The settings have:
1) RSI length, the lower the length, the more often the entry.
2) Testing results for any period of time
3) Take profit for any percentage
4) Stop order for any percentage
5) If there is a check mark ✅, then purchases will always be made, and if not, then purchases will be made, BUT, if the next payback is lower than the previous one, it does not matter by what percentage.
6) If there is a check mark ✅, then each trace of the purchase will be made provided that it is lower by the percentage specified, even if the conditions of the purchase are triggered.
7) The filled area is made for visual display of consolidation zones
Default settings:
RSI length 15, step 1.5, take profit 15, stop order 30.
Also in the settings there is a pyramid of the order, keep this in mind. Enter a deal for a small part of the deposit, and not for all the money at once! You can remove pyramiding and see the results with one entry.
For a more visual understanding, overlay the go_up script.
You can choose a strategy for yourself based on history! If you need examples of strategies, then write to me, my contacts are in the column: instructions from the author.
Successful trades, dear friends, I am glad that you trust me!
ממוצעים נעים
Optimized Keltner Channels Strategy for BTCThis strategy is optimized for Bitcoin with the Keltner Channel Strategy, which is TradingView's built-in strategy. In the original Keltner Channel Strategy, it was difficult to predict the timing of entry because the Buy and Sell signals floated in the middle of the candle in real time. This strategy is convenient because if the bitcoin price hits the top or bottom of the Keltner Channel and closes the closing price, you can enter Buy or Sell at the next candle start price. In addition, this strategy provides a visual plot of the price (bprice, sprice) at which the candle is closed by hitting Keltner Channel.
▶ Usefulness and Originality
- Convenient Buy and Sell entry compared to the original Keltner Channel Strategy
- Optimized for BTCUSD market (maximizing profits)
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이 전략은 TradingView의 Built-in 전략인 Keltner Channel Strategy를 비트코인에 맞게 최적화되었습니다. 기존의 Keltner Channel Strategy는 Buy, Sell 신호가 캔들 중간에 실시간으로 떠서 진입 시점을 예측하기 어려운 불편함이 있었지만 이 전략은 비트코인 가격이 Keltner Channel 상단 혹은 하단을 찍고 종가를 마감하면 그 다음 캔들 시작가에서 Buy 혹은 Sell 진입이 가능하여 편리합니다. 또한, 이 전략은 Keltner Channel을 만나서 캔들을 마감한 가격 (bprice, sprice)을 시각적으로 plot을 제공하여 타점 및 차트를 보기에 편리합니다.
ToTitans - AJ Jim : Type 2 Plus + Alligator (Future & Intraday) What is it ?
It is a strategy based on Type 2 from AJ Jim Class. It used a volume indicator at the same time as William Alligator given a magnificent result. With a bit of knowledge in his class for hedging, it will make your trade perfect.
Must use with 3 indicators 1) ToTitans - TVI , 2) ToTitans - Buy/Sell HHV and 3) ToTitans - Williams Alligator with Life Line. However this strategy already include Williams Alligator with Life Line.
Has no need to add those 3 indicators to use this strategy. Those 3 indicators are included in the signal already. However, the additional indicators are only for visualisation purpose
This strategy aims for giving the user to get a bear and bull icon signal for considering long and short from those combined indicators. However, its performance required a hedging and money management for drastically improve on WinRate and Profit.
This version is optimised for Future and Intraday Timeframe
How to Use it ?
You can use either TVI or Buy/Sell HHV to determine the trend of the trade. Especially the when Buy/Sell Volume is hit the HHV and TVI hit the HHV or LLV as dotted in the those indicators
Using Life Line while enter the cloud as an entry signal
Using Life Line while exit the cloud as an exit signal
Apply Money management for a better performance
Also you can set alert to your phone for Long and Short Entry Signal
Differentiation
The calculation formula has been improved for a better performance
Suitable for
Intra Day Trading (20m-2h). Best for 30m
TFEX:S501!
[laoowai]BNB_USDT_3m_3Commas_Bollinger_MACD_RSI_StrategyBNB_USDT _3m
Release Notes:
Time: 3min
Pair: BNB_USDT
Use: {{strategy.order.alert_message}}
What's the difference with 3Commas Bollinger Strategy by tedwardd:
1. Initial capital: 1210 USDT (10$ Base order / 400$*3 Safety order), if you will change, please change JUST safety order volume or number of safety orders 2-3
2. Using just 2(3) safety order (original script 4)
3. More high-performance strategy for BNB_USDT
4. Using MACD to sell order (original script take profit by scale), thanks Drun30 .
5. Using RSI to analyze the market conditions.
Need to change:
bot_id = input(title="3Commas Bot ID", defval=" YOUR DATA ")
email_token = input(title="Bot Email Token", defval=" YOUR DATA ")
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FAQ copy from tedwardd
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This strategy is intended for use as a way of backtesting various parameters available on 3commas.
The primary inputs for the strategy are:
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// USER INPUTS
Short MA Window - The length of the Short moving average
Long MA Window - The length of the Long moving average
Upper Band Offset - The offset to use for the upper bollinger offset
Lower Band Offset - The offset to use for the lower bollinger offset
Long Stop Loss % - The stop loss percentage to test
Long Take Profit % - The Take profit percentage to test
Initial SO Deviation % - The price deviation percentage required to place to first safety order
Safety Order Vol Step % - The volume scale to test
3Commas Bot ID - (self-explanatory)
Bot Email Token - Found in the deal start message for your bot (see link in the previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match the format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT )
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Start Date, Month, Year and End Date, Month, and Year all apply to the backtesting window. By default, it will use as much data as it can give the current period select (there is less historical data available for periods below 1H) back as far as 2016 (there appears to be no historical data on Trading view much before this). If you would like to test a different period of time, just change these values accordingly.
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Composite bot using a Bollinger band type trading strategy. While its primary intention is to provide users a way of backtesting bot parameters, it can also be used to trigger a deal start by either using the {{strategy.order.alert_message}} field in your alert and providing the bot details in the configuration screen for the strategy or by including the usual deal start message provided by 3commas.
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Original script:
1. 3Commas Bollinger Strategy by tedwardd
2. Momentum Strategy ( BTC /USDT; 1h) - MACD (with source code) by Drun30
72s Strat: Backtesting Adaptive HMA+ pt.1This is a follow up to my previous publication of Adaptive HMA+ few months ago, as a mean to provide some kind of initial backtesting tools. Which can be use to explore many possible strategies, optimise its settings to better conform user's pair/tf, and hopefully able to help tweaking your general strategy.
If you haven't read the study or use the indicator, kindly go here first to get the overall idea.
The first strategy introduce in this backtest is one most basic already described in the study; buy/sell is when movement is there and everything is on the right side; When RSI has turned to other side, we can use it as exit point (if in profit of course, else just let it hit our TP/SL, why would we exit before profit). Also, base on RSI when we make entry, we can further differentiate type of signals. --Please check all comments in code directly where the signals , entries , and exits section are.
Second additional strategy to check; is when we also use second faster Adaptive HMA+ for exit. So this is like a double orders on a signal but with different exit-rule (/more on this on snapshots below). Alternatively, you can also work the code so to only use this type of exit.
There's also an additional feature which you can enable its visuals, the Distance Zone , is to help measuring price distance to our xHMA+. It's just a simple atr based envelope really, I already put the sample code in study's comment section, but better gonna update it there directly for non-coder too, after this.
In this sample I use Lot for order quantity size just because that's what I use on my broker. Also what few friends use while we forward-testing it since the study is published, so we also checked/compared each profit/loss report by real number. To use default or other unit of measurement, change the entry code accordingly.
If you change your order size, you should also change the commission in Properties Tab. My broker commission is 5 USD per order/lot, so in there with example order size 0.1 lot I put commission 0.5$ per order (I'll put 2.5$ for 0.5 lot, 10$ for 2 lot, and so on). Crypto usually has higher charge. --It is important that you should fill it base on your broker.
SETTINGS
I'm trying to keep it short. Please explore it further again. (Beginner should also first get acquaintance with terms use here.)
ORDERS:
Base Minimum Profit Before Exit:
The number is multiplier of ongoing ATR. Means that when basic exit condition is met, algo will check whether you're already in minimum profit or not, if not, let it still run to TP or SL, or until it meets subsequent exit condition, then it will check again.
Default Target Profit:
Multiplier of ATR at signal. If reached before any eligible exit condition is met, exit TP.
Base StopLoss Point:
You can change directly in code to use other like ATR Trailing SL, fix percent SL, or whatever. In the sample, 4 options provided.
Maximum StopLoss:
This is like a safety-net, that if at some point your chosen SL point from input above happens to be exceeding this maximum input that you can tolerate, then this max point is the one will be use as SL.
Activate 2nd order...:
The additional doubling of certain buy/sell with different exits as described above. If enable, you should also set pyramiding to at least: 2. If not, it does nothing.
ADAPTIVE HMA+ PERIOD
Many users already have their own settings for these. So in here I only sample the default as first presented in the study. Make it to your adaptive.
MARKET MOVEMENT
(1) Now you can check in realtime how much slope degree is best to define your specific pair/tf is out of congestion (yellow) area. And (2) also able to check directly what ATR lengths are more suitable defining your pair's volatility.
DISTANCE ZONE
Distance Multiplier. Each pair/tf has its own best distance zone (in xHMA+ perspective). The zone also determine whether a signal should appear or not. (Or what type of signal, if you wanna go more detail in constructing your strategy)
USAGE
(Provided you already have your own comfortable settings for minimum-maximum period of Adaptive HMA+. Best if you already have backtested it manually too and/or apply as an add-on to your working strategy)
1. In our experiences, first most important to define is both elements in the Market Movement Settings . These also tend to be persistent for whole season since it's kinda describing that pair/tf overall behaviour. Don't worry if you still get a low Profit Factor here, but by tweaking you should start to see positive changes in one of Max Drawdown and Net Profit, or Percent Profitable.
2. Afterwards, find your pair/tf Distance Zone . When optimising this, what we seek is just a "not to bad" equity curves to start forming. At least Max Drawdown should lessen more. Doesn't have to be great already, but should be better, no red in Net Profit.
3. Then go manage the "Trailing Minimum Profit", TP, SL, and max SL.
4. Repeat 1,2,3. 👻
5. Manage order size, commission, and/or enable double-order (need pyramiding) if you like. Check if your equity can handle max drawdown before margin call.
6. After getting an acceptable backtest result, go to List of Trades tab and find the biggest loss or when many sequencing loss in a row happened. Click on it to go to exact point on chart, observe why the signal failed and get at least general idea how it can be prevented . The rest is yours, you should know your pair/tf more than other.
You can also re-explore your minimum-maximum period for both Major and minor xHMA+.
Keep in mind that all numbers in Setting are conceptually in a form of range . You don't want to get superb equity curves but actually a "fragile" , means one can easily turn it to disaster just by changing only a fraction in one/two of the setting.
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If you just wanna test the strength of the indicator alone, you can disable "Use StopLoss" temporarily while optimising settings.
Using no SL might be tempting in overall result data in some cases, but NOTE: It is not recommended to not using SL, don't forget that we deliberately enter when it's in high volatility. If want to add flexibility or trading for long-term, just maximise your SL. ie.: chose SL Point>ATR only and set it maximum. (Check your max drawdown after this).
I think this is quite important specially for beginners, so here's an example; Hypothetically in below scenario, because of some settings, the buy order after the loss sell signal didn't appear. Let's say if our initial capital only 1000$ using leverage and order size 0,5 lot (risky position sizing already), moreover if this happens at the beginning of your trading season, that's half of account gone already in one trade . Your max SL should've made you exit after that pumping bar.
The Trailing Minimum Profit is actually look like this. Search in the code if you want to plot it. I just don't like too many lines on chart.
To maximise profit we can try enabling double-order. The only added rule coded is: RSI should rising when buy and falling when sell. 2nd signal will appears above or below default buy/sell signal. (Of course it's also prone to double-loss, re-check your max drawdown after. Profit factor play its part in here for a long run). Snapshot in comparison:
Two default sell signals on left closed at RSI exit, the additional sell signal closed later on when price crossover minor xHMA+. On buy side, price haven't met our minimum profit when first crossunder minor xHMA+. If later on we hit SL on this "+buy" signal, at least we already profited from default buy signal. You can also consider/treat this as multiple TP points.
For longer-term trading, what you need to maximise is the Minimum Profit , so it won't exit whenever an exit condition happened, it can happen several times before reaching minimum profit. Hopefully this snapshot can explain:
Notice in comparison default sell and buy signal now close in average after 3 days. What's best is when we also have confirmation from higher TF. It's like targeting higher TF by entering from smaller TF.
As also mention in the study, we can still experiment via original HMA by putting same value for minimum-maximum period setting. This is experimental EU 1H with Major xHMA+: 144-144, Flat market 13, Distance multiplier 3.6, with 2nd order activated.
Kiwi was a bit surprising for me. It's flat market is effectively below 6, with quite far distance zone of 3.5. Probably because I'm using big numbers in adaptive period.
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The result you see in strategy tester report below for EURUSD 15m is using just default settings you see in code, as follow:
0,1 lot for each order (which is the smallest allowed by my broker).
No pyramiding. Commission: 0.5 usd per order. Slippage: 3
Opening position is only using basic strategy #1 (RSI exit). Additional exit not activated.
Minimum Profit: 1. TP: 3.
SL use: Half-distance zone. Max SL: 4.5.
Major xHMA+: 172-233. minor xHMA+: 89-121
Distance Zone Multiplier: 2.7
RSI: Standard 14.
(From our forward-testing, the difference we get from net profit is because of the spread, our entry isn't exactly at the close/open price. Not so much though, but not the same. If somebody can direct me to any example where we can code our entry via current bid/ask price, that would be awesome!)
It's already a long post (sorry), think I'm gonna pause here. Check out the code :)
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DISCLAIMER: Past performance is no guarantee of future results , and so on.. you know the drill ;)
Please read whole description first before using, don't take 1-2 paragraph and claim it's the whole logic, you are responsible of your own actions and understanding.
Trailing Take Profit Trailing Stop LossThis script demonstrated a dual trailing take profit and stop loss strategy. Where you take 50% (configurable) of the profit when a price level is reached and then you get the rest when a trailing stop loss is hit.
Trailing Take ProfitThis script demonstrates how to do trailing take profit. With this approach instead of setting a limit order, when you hit the target you just follow the price upwards (for long positions) and you sell when the price drops by a small percentage. This approach will increase the profits (slightly) in every strategy! Be aware that the simulated data may produce unrealistic results.
Fibonacci candle with Fibonacci ema strategyFor this strategy I am making use of the fibonacci numbers until 10 sequences and I am using them to make an avg candle and an average ema.
With it, I combine multiple price action rules and I set it up to only go long. When we have a short , we exit from the trade.
From the initial tests, it looks like it performs better on big timeframes.
If you have any questions, let me know !
SCALPER supertrend with entry exit points by MPRnew scalper more mulish , entry and exit points long term plus cloud for early entry points and minimize the bad entries.
also almost everything is easy to change value long MA short MAs etc
to adjust it to your strategy or short term change input values depending on what u want
bar colors for easy indication, change depending on th einput of the first 2 moving averages on the chart
let me know how it works, so far i personally like it hehe
right now is for long entries
like if you like it
Happy Trading
Extremely Overfit Bitcoin Long/ShortThis is a highly overfit (in my opinion) script to long/short BTC on the 15m time frame. May be usable for other cryptocurrencies or timeframes with some parameter adjustments. I backtested it on a few exchanges with ETH.
The simplest way to increase the number of trades is to decrease the "FastChannelLength" parameter or increase the "SlowChannelLength" parameter, or both. Decreasing the margins of the channels also increases the number of trades. In GENERAL, you should expect that adding more trades will hurt profitability, because, as the title says, this script is extraordinarily overfit.
It does include a commission fee from the start, which I find is essential to not providing an overly rosy view of how a strategy would work.
EMA RSI Engulfing StrategyBuy when above 200 EMA, 50 RSI and right after a bearish engulfing candle. SL is engulfing candle low and take profit is 2x the risk.
Dales BarUpDn Strategylong and short buy orders. the option to connect a 3commas bot to it with just the settings box
MA Crossover Strategy with MA Turning Point Exits + ADX filterThis strategy is based upon @rthomson's MA Crossover Strategy with MA Turning Point Exits.
I just added an ability to filter out entries when ADX < 20. In fact you have a choice to set this ADX threshold value.
In a sideways market, the MA crossovers end up in yielding entry trades with losses. ADX value around 20 to 25 indicates a sideway market. By introducing ADX threshold, we are trying to prevent potential loss making entries.
MA Crossover Strategy with MA Turning Point Exits + ADX filterThis strategy uses @rthomson's "MA Crossover Strategy with MA Turning point Exits" and combines it with ADX.
This strategy filters out any entries where ADX < 20. In fact you can set the value for ADX threshold. (Generally value under 20 for ADX is considered as non trend zone)
Altcoin correlation MeterDear TV'ers,
Hereby a script where the relative strength of an (in this case) altcoin is measured. The script produces a correlation between the altcoin and total altcoin market (Total2 index, see script). Using this script you can see when there is a strong correlation between the two and when there isn't. Moreover, it also produces long/short signals using hull moving average crossover.
Long signals are produced when correlation is below 0 and the hma of the pair is higher than the lagging hma.
Short signals are produced when correlation is below 0 and the hma of the pair is lower than the lagging hma.
Short/Long is closed after correlation is going back towards a set correlation target as well as the Take profit percentage is reached.
In the above example the script is applied to one of my favorite altcoin projects (rose).
Looking forward to feedback/suggestions.
4X EMA and volume strategyThis is a strategy made from multiple types of EMA and volume(EOM).
This is a long only strategy.
EMA 1 = 13
EMA 2 = 21
EMA 3 = 50
EMA 4 = 180
In this case we have 2 options for entry:
1.We check that are candles are in ascending order and EOM is above 0 - > long, descending and eom<0 -> exit long
2.We check if we have a crossover between the first ema with the second and the third. Cross up -> long, crossdown -> exit long
If you have any questions let me know!
RSI Strategy [Nostradanis]Strategy based on an adaptation of the Relative Strength Index and slow exponential moving average.
Green lines: uptrend
Gray lines: lateral trend
Red Lines: downtrend
Use:
When RSI crosses up 40 and 50 lines can be a good long entry if ema trend is clearly bullish.
55 line confirms entry.
Designed for swing with under $20 shares but can be adapted to scalping
Combo Backtest 123 Difference between price and MA This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Percent difference between price and MA
WARNING:
- For purpose educate only
- This script to change bars colors.
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.
T3 crossover strategyHi everybody,
Hereby a simple strategy based on T3 moving average crossover. If people are interested we can also add some alerts in people are interested.
Fibonacci DCA TrendThis bot makes use of an algorithm which detects new heights and places limit orders according to the Fibonacci retracement theory. By placing limit orders under the current price, the bot allows itself to catch smaller and larger dips. This is also known as “Dollar-Cost-Averaging”, DCA in short. This bot is ideal for bull markets, both on crypto and stock indices.
The green lines are the limit orders. As soon as the price touches the limit order, a position is entered.
The settings of the back test as follows:
starting capital = 100k
leverage = 1
commission = 0.2%
Equity per trade = 5%, a realistic investment strategy when trading 2-3 assets with this bot.
It’s advised to trade this bot with futures for potential leverage. On time frames lower than H1 I’d use 2x-3x leverage for better results, especially in trending markets. On larger time frames I wouldn’t use any leverage.
This bot has very strong results on a multitude of assets. The best results are on the M15 time frame.
To give you a few ideas, this bot is tested on the assets below. All the results are very similar. You can contact me for a back-test on a specific asset. You can find the back-test results on my website.
BTC
ETH
SPX500
NAS100
The standard inputs are generally the best all-round inputs. Feel free to change the inputs to your liking.
I've also made a study-script for easy implementation on the exchange. You get that script once you get access to this bot.
iGTR_Official StrategyThis alert indicator is pair of strategy using crossover of multiple Moving Averages for entry in Buy/Sell side & Pivots/Fibonacci zones for booking/trailing gains. Also added pair of moving averages which corresponds with the crossovers to hint potential trend reversal on breach. Green line gives trend reversal indication for Long trades, Red line gives SL indication for Short trades.
Also one may add indicator like MACD/ADX/CCI/RSI for more conformation/rejection/follow-up of trend post entry of signals.
Trend tracking strategy indicators through trend analysis.
Through 18 years of trading experience, I have developed this strategy indicator for Tradingview that enables stable and high returns.
This is the one I am currently using for real trading.
Correct timeframe is key to success. 5-15 min for Intraday, 45-60 min for Swing Positional trades.
The research process is very important as you can see beforehand how well the alerts for this Study would perform.
For detailed backtesting, a backtesting period can be set.
*Note: Backtesting results do not guarantee future results.
This premium indicator is free & not chargeable.
Do not try to outsmart the strategy
Leave your emotion out of trading! If you trust the strategy, you will have way better returns than if you try to outsmart it. Follow each signal you receive even if it doesn't seem logical at the moment.
Become a machine that executes.
Don't look at fundamentals. Follow the trend! Trust the strategy!
Any form of trading has large potential rewards but also large potential risks. The user must be aware of those risks and be willing to accept them. Don't trade with money that you, the user, cannot afford to lose. No representation is being made that you are guaranteed positive results.
The past performance of any trading methodology is not necessarily indicative of future results. Trading involves high risks.
I hope you enjoy it!
