Bollinger Band + RSI + ADX + MACD + HeikinashiThis script takes into picture Bollinger Bands, RSI with a comparator value, ADX with a comparator value, and MACD with Heikinashi Direction
THIS IS A LONG-ONLY STRATEGY. SHORT TRADES ARE NOT INCLUDED
Strategy:
The Strategy takes a trade only after ALL the following conditions are met.
Candle low is lower than the Bollinger Lower band
RSI is higher than the comparator value
ADX is higher than the comparator value
MACD value is higher than the Signal value
Stop Loss : Max of (Low of the candle - 0.22% and Close of the candle - 0.32%) - FYI, because its max, it's lower of the 2 and your risk is lesser
Target : Max of (Bollinger Band Upper band and 0.75% of the value of underlying) - FYI, it takes the maximum available
상대강도지수 (RSI)
cRSI + Waves Strategy with VWMA overlay + sessions and order qtyThis is a fork of the cRSI + Waves Strategy with VWMA overlay strategy by Dr_Roboto , which adds two additional features, namely:
the ability to limit trade signals to certain defined periods of time ("Sessions") during the trading day and, optionally, to close any open position at the end of either or both "Sessions"
the ability to control the maximum order size suggested by the strategy on the "Inputs" tab of the strategy's "Settings" window
If you are trading on a daily chart (or longer) you must disable the Limit Signals to Trading Sessions? option in order for the strategy to produce signals.
All other features are identical to the original strategy (revision 2.0).
Stoch-RSI 4h/1h/15min!!!! Note: Run this on the 15min timeframe (Important) !!!!
Note the default settings on this indicator are best for BTC/USDT. For other pairs it might take some fiddling with variables to get a useful result (if a useful result is obtainable with the selected pair)
Generally, select between the options (RSI/Stoch) and (15min/1hour) and (1hour/4hours) - to find a strategy backtest result that is worth considering.
Only long positions are considered here (I tried shorts but could not get a credible backtest result with this approach).
This is an indicator which looks at RSI and StochRSI on the 15min, 1hour and 4hour timeframe.
The user can select a 15min/1hour option (RSI/Stoch) and then also a 1hour/4hour option (RSI/Stoch).
So there is one selection from a lower (15min/1hour) timeframe and another selection from a longer (1hour/4hour) timeframe.
The general idea is to, consider buying when, the lower timeframe (RSI/Stoch) is going upwards and also the longer timeframe (RSI/Stoch) is going upwards.
A good backtest result would suggest that the confluence in RSI/Stoch over the shorter and longer timeframes can estimate a good time to buy.
(Careful with a 1hour Stoch for the shorter timeframe variable as its possible to also select a 1hour Stoch for the longer timeframe variable.)
There are user set variables that can be set to avoid a buy signal, if either the lower or high timeframe variables are greater than.
For example, buying when a rsi/stoch is >65% might not be advisable as the rsi/stoch is most probably due for a downswing when above this value.
The strategy closes a position when either the shorter or longer timeframe variables no longer are going up.
There is also a take profit % which can be set to exit trades at a given %.
The default values on this indicator tool are for bitcoin, which shows a reasonable backtest result. - worth sharing on tradingview.
Please do get in touch for any additional information/suggestions.
Sincerely,
MoonFlag
3 EMA Stochastik RSI ATR SL TP only LONGHey there!
Here i will show you the 3 EMA RSI Stochastic Crossover strategy with an ATR SL and TP.
The strategy works as follows:
For long positions, the EMA's must be in the following order:
The 8 E M A must be above the 14 E M A and the 14 E M A must be above the 50 E M A.
The buy signal is given to us by the Stochastic RSI indicators.
The K line must cross the D line above. The following candle must then close above all E M A's.
The stop loss is determined by three times the value of the ATR.
The take profit is determined by two times the value of the ATR.
In this strategy only long positions are traded.
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.
[KL] Bollinger bands + RSI StrategyThis strategy is based on two of my previous scripts, one called “RSI14 + 10”; the other one called “Bollinger Bands Consolidation”. At its core, it combines the main setups from each of those two scripts but excludes the auxiliary features that were considered as experimental. This strategy will identify periods of squeeze, and then enter long during consolidation with a trailing stop loss set.
Primary indicator will be the Bollinger Bands. By comparing the width of the BBs with the ATR of the same lookback period (i.e. 2 standard deviations of the 20 recent closing prices vs ATR(20) x2), we begin to look for confirmation for entry whenever the standard deviation of prices is less than the ATR. This can be seen visually in the plots (i.e. default gray lines representing ATRx2 relative to BB center line).
Confirmation for entry will be the RSIs (slow-14, and fast-10). If both are upward sloping, then we assume prices are in an uptrend and may eventually break above upper band. RSIs are typically in mid-range when prices are consolidating, therefore no need to measure it.
Exits will happen in two cases, (1) when trailing stop loss hits, or (2) when RSIs signal that the instrument is overbought. No. 1 is self-explanatory. No. 2 happens, when RSI14 reaches above 70 (can be changed), followed by RSI10 catching up and surpassing RSI14.
MACD, RSI, & RVOL Strategy
This strategy combines the use of MACD (12, 26, 9), RSI (14, 30, 70), and RVOL (14) to create Long Buy and Sell signals. This works well with many different time intervals but was developed with 15-minute intervals in mind.
Using MACD as a reference, the strategy identifies when the MACD line crosses over (a factor in a buy signal) and under (a factor in a Sell signal) the Signal line. This shows a shift in positive (cross over) and negative (cross under) of a security.
Using the Relative Strength Index ( RSI ) as an indicator, the strategy notices when the velocity and magnitude of the directional price movements cross over the Oversold signal (30) and crosses under the Overbought signal (70) as a factor in creating a Buy and Sell signal.
Using Relative Volume (RVOL) as an indicator, the strategy calculates when the current volume has crossed over the 2x average volume indicator over a given period and is then used as a factor in creating a Buy signal. RVOL is also used when the change in volume crosses under a set RVOL number (in this strategy, it is set to a RVOL of 5).
RVOL = Current Volume / Average Volume over a certain period
This strategy indicates a Buy signal when 2/3 conditions are met:
- RSI Cross Over the Over Sold signal (default 30)
- MACD Cross Over of Signal ( MACD > Signal)
- RVOL Cross Over of 2 (RVOL > 2)
This strategy indicates a Sell signal when 2/3 conditions are met:
- RSI Cross Under the Over Bought signal (default 70)
- MACD Cross Under of Signal ( MACD < Signal)
- RVOL Cross Under 5 (RVOL < 5)
Enjoy and leave feedback!
Linear RSIThis is an attempt to create a strategy based on the previous post. The strategy, as before, is based on the RSI, which is calculated using linear regression, but with the addition of EMA. The crossing of EMA and RSI is a buy and sell signal. There are also two functions to buy (because I haven't decided which is really better), so please use checkbox to order which one you would like to use.
Reversal with Bollinger Bands + RSI + ADX + ATR (Upgraded)Hi,
Welcome to my 4th script.
Someone asked me some questions about the Bollinger Band strategy I previously published. When I went back to my published script I couldn't help myself but simply try and make it better. Which I did.
Since I've published that script, I've gained much more knowledge about how Pinescript functions. As well as gaining more and more knowledge about how the markets are structered etc.
In this reversal script we use 4 indicators to determine good entry signals, we determine whether the market is ranging or trending and we still only want to take trades in the direction of the "trend".
Bollinger Bands are used for our entry signal. When price hits either side of the band, we wait for a reverse candlestick before we enter a position.
RSI is used to determine if we're in a trending market or in a ranging market. You can adjust the values in the inputs. You can determine the minimum RSI value and the maximum RSI value.
ADX is used the same way as RSI, you can adjust the value in the inputs. You can determine the minimum ADX value.
Last but not least we use two EMA's, a 200 EMA and 100 EMA. Both are adjustable through the inputs. I used two EMA's because I noticed when using this strategy that we'd enter a new position often after having a bad trade. Using two EMA's might clean up some signals, in my case with EUR/USD on a 15m timeframe, it didn't clean up enough signals.
All the default values are pretty decent but might require some finetuning on a certain instrument. Don't overfit the strategy though, that'll only give you bad signals in the future.
Then we are off to our exit signals.
Initially I wanted to incorporate my previous Bollinger Band exit signals as well, but it was too much of a hassle to make the script work as intended so I left it out. If you want to use those exit signals, just find my other script.
When we're in a position and price crosses the opposite band, we wait for a reverse candlestick before we exit the position.
Additionally we want our losses to be as small as possible, so we use RSI to signal us when the market is, or starts to, trend against us. This is where you use the minimum and maximum exit values. So when RSI crosses over or under that value, it'll exit the position.
Furthermore, we use the ATR indicator to set our stop loss, which is pretty basic stuff. You can adjust the ATR multiplier in the inputs. Disabling "Use Trailing Stop?" is really inadvisable unless you know this script inside out as your only exit signals will be opposite Bollinger Band Cross and RSI overbought / oversold areas.
[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
Stochastic TrendDear community,
I've made another simple trading bot for you to use. This bot is based on the Stochastic Oscillator. It only produces long trades currently.
I changed the oscillation period to a much longer one, which in turn creates opportunities to trade long term trends.
The bot goes long when the Entry lines is crossed from below and it will close its long position once the Exit line has been crossed from above.
Bollinger Bands strategy with RSI and MACD v1.0 This is a strategy based on the Bollinger Bands, where buy trades are made when the price crosses the lower line of the Bollinger Bands upwards, and sell trades are made when the price crosses the upper line downwards.
In addition, it is possible through the inputs to enable trading with RSI and MACD, so that buy or sell trades are supported by these two indicators.
Trades are partially and fully closed in the following way, a buy trade will close half of the position when the price touches the middle line of the Bollinger bands and will be fully closed when the price touches the upper band. In the case of a sell position, half of the position will be closed if the price touches the middle band and the entire position will be closed when the price touches the lower band. Alternatively, a fixed take profit can be placed. In case the price moves against us, trailing stops can be placed.
In case of selecting to use RSI, MACD, or MACD variation, trades will be executed as long as The Bollinger Bands, and all the above-mentioned indicators give the same signals, either buy or sell.
For example in the case of selecting only Use RSI, buy trades would be made as long as RSI and BB give buy signals.
Strategy inputs:
-BB source: Bollinger Bands price source.
-Bollinger Bands SMA length: Bollinger Bands simple moving average length.
-Bollinger Bands StdDev length: Bollinger Bands standard deviation length.
-Trail Long Loss (%): Distance in percentage at which the stop loss will initially be placed for buy trades.
-Trail Short Loss (%): Distance in percentage at which the stop loss will be initially placed for sell trades.
-Maximum orders: Maximum of simultaneous operations, for example, if it is 3, up to 3 parallel operations of buy and up to 3 parallel operations of sell will be carried out.
-Position size: Number of contracts per trade.
-Use RSI: If selected, the strategy will also trade based on oversold or overbought signals provided by the RSI.
-RSI source: RSI price source.
-RSI period: The RSI period to use.
-RSI value for buy: If the RSI is below this value, it will give a buy signal.
-RSI value for sell: If the RSI value is above this value, it will give a sell signal.
-Use MACD: If selected, buy trades will be made when the MACD crosses 0 upwards, and sell trades will be made when the MACD crosses 0 downwards.
-Use MACD variation: Only available if MACD is previously selected. In this case, buy trades are made if the MACD value in the last 3 candles has been decreasing, and sell trades are made if the MACD value has been increasing.
-MACD source: MACD price source.
-MACD fast length: MACD fast EMA lenght.
-MACD slow length: MACD slow EMA lenght.
-MACD signal length: MACD signal EMA lenght.
-Use maximum TP long: If selected, a fixed take profit will be placed for buy trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit long (%): Distance in percentage at which the take profit will be placed for buy trades.
-Use maximum TP short: if selected, a fixed take profit will be placed for sell trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit short (%): Distance in percentage at which the take profit will be set for sell trades.
I hope you like it and as always all feedback is welcome.
Full strategy Psar+ adx + cmf + rsi This ia full strategy made with a combination of a trender, volume, volatility and oscillator.
In this case we only go long.
Indicators used:
Default PSAR
Default CMF
Modified RSI logic, not using OB/OS
ADX with EMA applied
The rules are : we check if we are in a uptrend on psar, together with a positive value in volume, rsi is above the middle line(50), using a big length, and lastly the ADx is superior to the ema ADx
For exit, we check the opposite, like downtrend psar, negative value volume, rsi < 50, and adx < ema adx
If you have any questions let me know.
Bollinger DCA v1Simple "benchmark" strategy for ETFs, Stocks and Crypto! Super-easy to implement for beginners, a BTD (buy-the-dip) strategy means that you buy a fixed amount of an ETF / Stock / Crypto every time it falls. For instance, to BTD the S&P 500 ( SPY ), you could purchase $500 USD each time the price falls. Assuming the macro-economic conditions of the underlying country remain favourable, BTD strategies will result in capital gains over a period of many years, e.g. 10 years.
Recommended Chart Settings:
Asset Class: ETF / Stocks / Crypto
Time Frame: H1 (Hourly) / D1 (Daily) / W1 (Weekly) / M1 (Monthly)
Necessary ETF Macro Conditions:
1. Country must have healthy demographics, good ratio of young > old
2. Country population must be increasing
3. Country must be experiencing price-inflation
Necessary Stock Conditions:
1. Growing revenue
2. Growing net income
3. Consistent net margins
4. Higher gross/net profit margin compared to its peers in the industry
5. Growing share holders equity
6. Current ratios > 1
7. Debt to equity ratio (compare to peers )
8. Debt servicing ratio < 30%
9. Wide economic moat
10. Products and services used daily, and will stay relevant for at least 1 decade
Necessary Crypto Conditions:
1. Honest founders
2. Competent technical co-founders
3. Fair or non-existent pre-mine
4. Solid marketing and PR
5. Legitimate use-cases / adoption
Default Robot Settings:
Contribution (USD): $500
When: Dips below lower Bollinger Band
*Robot buys $500 worth of ETF , Stock, Crypto, every time price falls below the lower Bollinger Band
*Equity curve can be seen from the bottom panel*
Risk Warning:
This strategy is low-risk, however it assumes you have a long time horizon of at least 5 to 10 years. The longer your holding-period, the better your returns. The only thing the user has to keep-in-mind are the macro-economic conditions as stated above. If unsure, please stick to ETFs rather than buying individual stocks or cryptocurrencies.
Improved simple RSI Buy/Sell at a level (SL/TP)Improved Simple Strategy based on RSI, using overbought or oversold levels.
Backtest: ETHPERP (FTX) - 30m
Set STOP LOSS and GET PROFIT as a percentage (2% and 10% by default).
If strategy.position_size != 0 algorithm convert percentages into points and set stop loss and take profit limit orders.
RSI Trend CryptoDear community,
Today I want to present you one of my favorite and simple trading bots: The RSI Trend.
This bot is based on the RSI, which normally is used as a trend reversal indicator. However, here it’s used as a trend finding indicator, often with great success. This bot making long-only trades, which is quite successful in bull-markets like the one we’re currently in.
In case you want to use an emergency exit for your trade, toggle the Emergency Exit parameter. During bull-markets it’s better in the long term to keep this option off.
Currently the bot only makes one trade at a time (pyramiding = 1), for higher risk and higher rewards you can increase this parameter. More than 5 is not advised.
I’ve optimized this bot on 15min time frame. It has some decent results for most cryptos on this TF, feel free to test this out.
In case you want to hook this bot up to your exchange, feel free to edit the ALERT messages in the code.
Default Trading Rules:
Long: RSI crosses over 35
Close Long: RSI crosses under 75
Emergency Exit: RSI crosses under 10
RSI OverTrend Strategy (by Marcoweb) v1.0Hi guys, just adapted the CCI Level zero Strategy with the Over Bought and Over Sold levels provided by the Relative Strength Index. The strat is opening a long position at RSI Oversold 30 Level closing it at RSI Overbought 70 Level flipping the position.
Enjoy :D
Crypto rsi cci mf stoch rsi oscillators all in one strategyThis is a strategy based on the popular oscillator like RSI, CCI, MF and Stochastic RSI oscillators.
In this situation I use a very high length , 100 candles, and the middle point between overbought and oversold levels at 50.
The entry for long is when all oscilators are above 50, and the exit is when they are below 50 + plus some minor modifications
If you have any questions, please message me a private message !
HiLo Extension This Strategy is finding high and low breaks of the day and enter into the trader based on RSI value and time value
1) This strategy is created for Indian Index like Nifty, Bank Nifty and so...
2) Trades are initiate only after 10:15 AM and before 3:10PM
3) High and Low of the day break will be check during the above time frame
4) RSI value will be check (RSI 50)
5) and trade will be initiate
6) Stop loss set as vwma 20...
Note: This Script will work fine in Index future chart not index spot chart...
This is just my idea only... Please back test yourselve, before using it..
Your comments are welcome!
[KL] RSI 14 + 10 StrategyThis strategy uses RSI14 for entry and exit signals; applies RSI10 for confirmation. The thresholds can adjusted in Settings.
Trailing stop can also be applied if wanted.
Tested on daily/hourly charts.
Delta-RSI Strategy (with filters)Delta-RSI Strategy (with filters):
This is a version of the Delta-RSI Oscillator strategy with several criteria available to filter entry and exit signals. This script is also suitable for backtesting over a user-defined period and offers several risk management options (take profit and stop loss).
Since the publication of the Delta-RSI Oscillator script, I have been asked many times to make it compatible with the Strategy Tester and add filtering criteria to minimize "false" signals. This version covers many of these requests. Feel free to insert your favorite D-RSI parameters and play around!
ABOUT DELTA-RSI
Delta-RSI represents a smoothed time derivative of the RSI designed as a momentum indicator (see links below):
INPUT DESCTIPTION
MODEL PARAMETERS
Polynomial Order : The order of local polynomial used to interpolate the relative strength index (RSI).
Length : The length of the lookback frame where local regression is applied.
RSI Length : The timeframe of RSI used as input.
Signal Length : The signal line is a EMA of the D-RSI time series. This input parameter defines the EMA length.
ALLOWED ENTRIES
The strategy can include long entries, short entries or both.
ENTRY AND EXIT CONDITIONS
Zero-crossing : bullish trade signal triggered when D-RSI crosses zero from negative to positive values (bearish otherwise)
Signal Line Crossing : bullish trade signal triggered when D-RSI crosses from below to above the signal line (bearish otherwise)
Direction Change : bullish trade signal triggered when D-RSI was negative and starts ascending (bearish otherwise)
APPLY FILTERS TO
The filters (described below) can be applied to long entry, short entry and exit signals.
RELATIVE VOLUME FILTER
When activated, the D-RSI-driven entries and exits will be triggered only if the current volume is greater than N times the average over the last M bars.
VOLATILITY FILTER
When activated, the D-RSI-driven entries and exits will be triggered only if the N-period average true range, ATR, is greater than the M-period ATR. If N < M, this condition implies increasing volatility.
OVERBOUGHT/OVERSOLD FILTER
When activated, the D-RSI-driven entries and exits will be triggered only if the value of 14-period RSI is in the range between N and M.
STOP LOSS/TAKE PROFIT
Fixed and trailing stop loss as well as take profit options are available.
FIXED BACKTESTING START/END DATES
If the checkboxes are not checked, the strategy will backtest all available price bars.
Flawless Victory Strategy - 15min BTC Machine Learning StrategyHello everyone, I am a heavy Python programmer bringing machine learning to TradingView. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5 . Let me talk a little bit more about how the strategy works. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I will continue to apply machine learning to all my strategies from here on forward. Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I'm always willing to create profitable strategies!
P.S. You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. This is my way of being transparent with you all. Have fun trading!
Strategia RSI sempliceQuesto semplice script sfrutta il RSI a 14 periodi per comprare (solo long) quando RSI crocia al rialzo i 30 (oversold line) e chiude l'operazione quando RSI crocia al ribasso i 70 (overbought line).
La strategia è stata progettata sul TimeFrame delle 4H (su BTC) e dimostra come una semplicissima strategia con un solo segnale poteva portare un 20% dal 2020 ad oggi su BTC/USD
