Crypto Volatility Bitcoin Correlation Strategy Description:
The Crypto Volatility Bitcoin Correlation Strategy is designed to leverage market volatility specifically in Bitcoin (BTC) using a combination of volatility indicators and trend-following techniques. This strategy utilizes the VIXFix (a volatility indicator adapted for crypto markets) and the BVOL7D (Bitcoin 7-Day Volatility Index from BitMEX) to identify periods of high volatility, while confirming trends with the Exponential Moving Average (EMA). These components work together to offer a comprehensive system that traders can use to enter positions when volatility and trends are aligned in their favor.
Key Features:
VIXFix (Volatility Index for Crypto Markets): This indicator measures the highest price of Bitcoin over a set period and compares it with the current low price to gauge market volatility. A rise in VIXFix indicates increasing market volatility, signaling that large price movements could occur.
BVOL7D (Bitcoin 7-Day Volatility Index): This volatility index, provided by BitMEX, measures the volatility of Bitcoin over the past 7 days. It helps traders monitor the recent volatility trend in the market, particularly useful when making short-term trading decisions.
Exponential Moving Average (EMA): The 50-period EMA acts as a trend indicator. When the price is above the EMA, it suggests the market is in an uptrend, and when the price is below the EMA, it suggests a downtrend.
How It Works:
Long Entry: A long position is triggered when both the VIXFix and BVOL7D indicators are rising, signaling increased volatility, and the price is above the 50-period EMA, confirming that the market is trending upward.
Exit: The strategy exits the position when the price crosses below the 50-period EMA, which signals a potential weakening of the uptrend and a decrease in volatility.
This strategy ensures that traders only enter positions when the volatility aligns with a clear trend, minimizing the risk of entering trades during periods of market uncertainty.
Testing and Timeframe:
This strategy has been tested on Bitcoin using the daily timeframe, which provides a longer-term perspective on market trends and volatility. However, users can adjust the timeframe according to their trading preferences. It is crucial to note that this strategy does not include comprehensive risk management, aside from the exit condition when the price crosses below the EMA. Users are strongly advised to implement their own risk management techniques, such as setting appropriate stop-loss levels, to safeguard their positions during high volatility periods.
Utility:
The Crypto Volatility Bitcoin Correlation Strategy is particularly well-suited for traders who aim to capitalize on the high volatility often seen in the Bitcoin market. By combining volatility measurements (VIXFix and BVOL7D) with a trend-following mechanism (EMA), this strategy helps identify optimal moments for entering and exiting trades. This approach ensures that traders participate in potentially profitable market moves while minimizing exposure during times of uncertainty.
Use Cases:
Volatility-Based Entries: Traders looking to take advantage of market volatility spikes will find this strategy useful for timing entry points during market swings.
Trend Confirmation: By using the EMA as a confirmation tool, traders can avoid entering trades that go against the trend, which can result in significant losses during volatile market conditions.
Risk Management: While the strategy exits when price falls below the EMA, it is important to recognize that this is not a full risk management system. Traders should use caution and integrate additional risk measures, such as stop-losses and position sizing, to better manage potential losses.
How to Use:
Step 1: Monitor the VIXFix and BVOL7D indicators. When both are rising and the Bitcoin price is above the EMA, the strategy will trigger a long entry, indicating that the market is experiencing increased volatility with a confirmed uptrend.
Step 2: Exit the position when the price drops below the 50-period EMA, signaling that the trend may be reversing or weakening, reducing the likelihood of continued upward price movement.
This strategy is open-source and is intended to help traders navigate volatile market conditions, particularly in Bitcoin, using proven indicators for volatility and trend confirmation.
Risk Disclaimer:
This strategy has been tested on the daily timeframe of Bitcoin, but users should be aware that it does not include built-in risk management except for the below-EMA exit condition. Users should be extremely cautious when using this strategy and are encouraged to implement their own risk management, such as using stop-losses, position sizing, and setting appropriate limits. Trading involves significant risk, and this strategy does not guarantee profits or prevent losses. Past performance is not indicative of future results. Always test any strategy in a demo environment before applying it to live markets.
USDT-D
Linear trendSimple way how to use Linear Regression for trading.
What we use:
• Linear Regression
• EMA 200 as a trend filter
Logic:
Firstly we make two different linear regression movings as oscillator. For this we need to subtract slow moving from fast moving, so we get the single moving around zero. This is the green/red line which appears on the chart.
The trade open when LR cross over the threshold. The trade close when LR cross under the threshold below. Crossing over the threshold is the same as faster moving cross over slower moving.
Also we use EMA as a filter. The trades would be only when the price is over than EMA 200.
MA&AOThat is quit simple strategy, which combines only two indicators: AO and MA. The logic of trades is also clear, when AO is bullish; slow ma is under the close price; fast ma > slow ma - buy.
Full Crypto Swing Strategy ALMA Cross with MACDThis is a full crypto swing strategy designed.
From my testing it looks like it perform the best on timeframes 4h +.
The below example has been adapted to BNB/USDT, using the entire period since 2017 until present day, with a comission of 0.03% ( which is the comission for the futures on binance).
Its components are :
ALMA Fast
ALMA Slow
MACD Histogram
Rules for entry
For long, we have a crossover of the fast alma with the slow one and the histogram is ascending.
For short, we have a crossunder of the fast alma with the slow one and the histogram is descending.
Rules for exit
We exit based on a risk management system for TP and SL, or when we receive an opposite condition than the initial one.
Regarding risk management
0.05 = 5% movement
2 = 200% movement
0.001 = 0.1% movement
If you have any questions, let me know !
Aroon Strategy long onlyThis is a simple long only strategy made of Aroon and Least Square moving average.
The rules are simple:
Long entry = crossover of upper part with the lower part from aroon and close of the candle is above the moving average
Long exit = crossunder of upper part with the lower part from aroon and close of the candle is below the moving average
IF you have any questions let me know !
Crypto EMA Trend Reversal StrategyThis is an EMA crossover strategy which involves 5 EMAs to trigger trades. The strategy has two take profit settings and uses a stop loss.
TP1 and SL are based on ATR and TP2 is an EMA crossover.
The strategy goes both long and short and the default settings work particularly well as a scalping strategy for ETHUSDT on the 5M time frame.
I have also created another version with tweaked settings for scalping LINKUSDT on the 5M with very similar results.
There is an option to add a volume condition parameter within the script on lines 26-28 which can be added to the end of lines 34-35 in the following format: and vol_cond
I personally don't currently use the volume condition parameter.
[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
OBV Accumulation / Distribution Strategy CryptoThis version its made for 8-12h and works amazingly on the ETH pairs. Can be adapted to others as well
For this example, I used an initial 1$ account, using always full capital on each trade(without using any leverage), together with a 0.1% commission/fees for each deal, on Coinbase broker.
This is a long only strategy
The components for the inside of the strategy are the next one :
1. OBV Accumulation/Distribution
3. EMA
The rules here are simple : we check for cross up or above on OBV and EMAmoving average and after that we check for the trend direction based on ascending/descending OBV. Based on this we enter long or exit long.
RISK WARNING
Trading on any financial market involves a risk of loss. Please consider carefully if such trading is appropriate for you. Past performance is not indicative of future results.
If you have any questions or you are interested in trying it, private message me and I will give you as soon as I see the message a trial for it.
Best Crypto DEMA Strategy Long onlyThis is a crypto strategy suited for big time frames like 3h+.
THIS IS A LONG ONLY STRATEGY , SUITED TO BEAT BUY AND HOLD !
It's a very risky strategy because it has no stop loss at all, so be extremely careful with it.
This strategy is made of 2 DEMA a fast and a slow one.
We have two rules : entry it's when we have a crossunder between the slow DEMA and the fast DEMA. We exit when the opposite happens, in this case, when the slow is above fast.
For this example I used an initial capital of 1000 eur, using 100% of it always, and a commission of 0.2% per each deal.
CRYPTO HA Strategy money maker long termToday I bring you another amazing strategy.
Its made of 2 EMA in this case 50 and 100.
At the same time, internaly for candles we calculate the candles using the HA system ( while still using in live the normal candles). This way we can assure that even if we use HA candles, we avoid repainting, and its legit.
We first calculate the HA candles based on the EMA 50 values, and after that , we use that candle properties to apply to EMA 100.
Once we have that, for entries we have the next conditions :
sell = o2 > c2 and o2 < c2 and time_cond
buy = o2 < c2 and o2 > c2 and time_cond
For sell : Our open from HA 100 is bigger than Close from ha 100, and the previous open is smaller than previous close
For long : Our open from ha 100 is smaller than close from ha 100 and the previous open is bigger than previous close.
Then we have 2 options :
If we wnat to go only long , which is my prefered version ,or the original one where we go both long and short.
I found that the best results are in general around bigger timeframes, 1h+ , 3h works the best so far on my tests.
For exit we have 2 versions :
1 lets say we had a long signal, as soon as we have a short signal we close the trade. Viceversa for short.
2. Is based on price % movement. In this case I use 7.5% price movement of asset.
We have no TP in use for this system.
For the purpose of this test I use 10.000 $ account. For test I use 100% of it, without any leverage.
I use the SL based on price movement , which is a very risky tool, since it can fluctuate even at 20-30% of our capital.
For comission I used 0.1% for each deal, and a slippage of 5 points.
Be cautious with this system !
If you have any questions , message me.
Crypto MultiTrend multi timeframesHello, today I bring you another crypto strategy which can work with multiple timeframes and most of crypto currencies
Its made entirelly of multiple EMA , of different lengths : like super fast, fast, normal, slow and very slow
We also combine a little bit of price action together with the trend direction both for entry and for exits, to have a more precise control.
The rules for long close is above all EMA's, they are in ascending order and the at same time close is bigger than the previous high, and previous high > second previous high, close > 3rd previous high , close > 4th previous high, close > 5th previous high, 5th high > 6th high.
For short we have the same, but instead of high, we use lows, and instead of > we use < .
As exit we have 2 conditions for long and 2 for short
To exit long we have : super fast ema < fast ema and fast ema < normal and normal < slow ema. For short, they would be the opposite, using > sign.
The second exit for long is when our current low crosses below 4 of ours EMA during the same candle. For short, is when the high crosses above 4 of ours EMA during the same candle.
CAUTIOUS : Currently it uses not risk management system, so in this current condition is extremely risky . Be careful
If you have any questions lets me know
