Quatro SMA Strategy [4h]Hello, I would like to present to you The "Quatro SMA" strategy
Strategy is based on four simple moving averages of different lengths and monitoring trading volume. The key idea is to identify strong market trends by comparing short-term moving averages with the long-term SMA. The strategy generates buy signals when all short-term SMAs are above the SMA(200) and the volume confirms the strength of the move. Similarly, sell signals are generated when all short-term SMAs are below the SMA(200), and the volume is sufficiently high.
The strategy manages risk by applying a stop loss and three different Take Profit levels (TP1, TP2, TP3), with varying percentages of the position closed at each level.
Each Take Profit level is triggered at a specific percentage gain, with the position being closed gradually depending on the achieved targets. The percentage of the position closed at each TP level is also defined by the user.
Indicators and Parameters:
Simple Moving Averages (SMA):
The script utilizes four simple moving averages with different lengths (4, 16, 32, 200). The first three SMAs (SMA1, SMA2, SMA3) are used to determine the trend direction, while the fourth SMA (with a length of 200) serves as a support/resistance line.
Volume:
The script monitors trading volume and checks if the current volume exceeds 2.5 times the average volume of the last 40 candles. High volume is considered as confirmation of trend strength.
Entry Conditions:
- Long Position: Triggered when SMA1 > SMA2 > SMA3, the closing price is above SMA(200), and the volume condition is met.
- Short Position: Triggered when SMA1 < SMA2 < SMA3, the closing price is below SMA(200), and the volume condition is met.
Exit Conditions:
- Long Position: Closed when SMA1 < SMA2 < SMA3 and the closing price is above SMA(200).
- Short Position: Closed when SMA1 > SMA2 > SMA3 and the closing price is below SMA(200).
to determine the level of stop loss and target point I used a piece of code by RafaelZioni, here is the script from which a piece of code was taken
I hope the strategy will be helpful, as always, best regards and safe trades
;)
ETHUSD
BTC outperform atrategy### Code Description
This Pine Script™ code implements a simple trading strategy based on the relative prices of Bitcoin (BTC) on a weekly and a three-month basis. The script plots the weekly and three-month closing prices of Bitcoin on the chart and generates trading signals based on the comparison of these prices. The code can also be applied to Ethereum (ETH) with similar effectiveness.
### Explanation
1. **Inputs and Variables**:
- The user selects the trading symbol (default is "BINANCE:BTCUSDT").
- `weeklyPrice` retrieves the closing price of the selected symbol on a weekly interval.
- `monthlyPrice` retrieves the closing price of the selected symbol on a three-month interval.
2. **Plotting Data**:
- The weekly price is plotted in blue.
- The three-month price is plotted in red.
3. **Trading Conditions**:
- A long position is suggested if the weekly price is greater than the three-month price.
- A short position is suggested if the three-month price is greater than the weekly price.
4. **Strategy Execution**:
- If the long condition is met, the strategy enters a long position.
- If the short condition is met, the strategy enters a short position.
This script works equally well for Ethereum (ETH) by changing the symbol input to "BINANCE:ETHUSDT" or any other desired Ethereum trading pair.
Multi ETH Rolling APY Calculator [presentTrading]This one is for SEC paves way for Ethereum ETFs in boost for crypto!
█ Introduction and How it is Different
The "Multi ETH Rolling APY Calculator" is a sophisticated Pine Script tool designed to analyze the annualized difference between Ethereum (ETH) spot and futures prices. This tool is essential for identifying arbitrage opportunities and assessing market sentiment, offering traders invaluable insights into market dynamics. By calculating the premium or discount of futures contracts relative to the spot price and annualizing this figure based on the time until each contract's expiration, the Multi ETH Rolling APY Calculator provides a clear view of potential profit margins and market trends.
Unlike traditional trading indicators that focus solely on price movements or technical patterns, this calculator delves deeper into the futures market, providing a dual-purpose tool. It not only helps in spotting arbitrage opportunities but also serves as a gauge for the emotional state of the market, thereby offering a more comprehensive analysis of market conditions. This dual functionality sets it apart, making it a must-have for traders looking to navigate the volatile cryptocurrency trading landscape effectively.
Historical backtesting has revealed that Bitcoin's Rolling APY can serve as a robust indicator of market sentiment:
- Below 0%: Often indicates panic or 'end-of-world' scenarios.
- 0-5%: Signifies extreme market fear.
- 5-10%: Reflects a calm market environment.
- 10-15%: Suggests a moderately warm market.
- 15-20%: Indicates an overheated market.
- **Above 20%: Signals FOMO (fear of missing out).
█ Strategy, How it Works: Detailed Explanation
The Multi ETH Rolling APY Calculator employs a systematic approach to derive its insights. The process is broken down into several steps, each contributing to the overall analysis:
🔶 Data Fetching: The script first fetches the necessary data, including the closing prices of Ethereum's spot market and selected futures contracts. These futures contracts are typically set to expire at different dates, providing a broad perspective on market expectations over time.
🔶 Time and Expiration: The tool takes into account the current time and the expiration dates of the futures contracts. This helps in calculating the number of days remaining until each contract's expiration.
🔶 Premium Calculations: The premium or discount of each futures contract relative to the spot price is computed. This is done by subtracting the spot price from the futures price and then dividing the result by the spot price. This calculation gives a percentage that represents the premium or discount.
🔶 Annualized Percentage Yield (APY) Calculations: The calculated premium or discount is then annualized based on the number of days remaining until the contract's expiration. This involves multiplying the premium or discount by the factor (365 / days remaining) to annualize the figure. If the user chooses not to annualize the numbers, this step is skipped.
🔶 Plotting Results: The annualized yields are then plotted on a chart, allowing traders to visualize the potential returns from different futures contracts. The plots are color-coded for easy differentiation and quick analysis.
By following this structured approach, the Multi ETH Rolling APY Calculator provides traders with clear, actionable insights into market dynamics and potential arbitrage opportunities.
█ Trade Direction
While this tool does not provide direct trading signals, it informs traders about potential arbitrage opportunities and the prevailing market sentiment. Traders can leverage this data to make strategic decisions, aligning long or short positions with the anticipated market movements and arbitrage conditions.
█ Usage
By inputting specific parameters related to their market analysis, traders can monitor discrepancies in Bitcoin’s pricing across different timelines, which is especially beneficial for those involved in derivatives trading, arbitrage, and sentiment analysis.
█ Default Settings
- Resolution: Controls the frequency of data (default is daily).
- Show numbers in annual: Determines whether APY is displayed on an annual basis.
- Base Symbol and Future Symbols: Specify the spot and futures markets for analysis.
Aroon and ASH strategy - ETHERIUM [IkkeOmar]Intro:
This post introduces a Pine Script strategy, as an example if anyone needs a push to get started. This example is a strategy on ETH, obviously it isn't a good strategy, and I wouldn't share my own good strategies because of alpha decay. This strategy combines two technical indicators: Aroon and Absolute Strength Histogram (ASH).
Overview:
The strategy employs the Aroon indicator alongside the Absolute Strength Histogram (ASH) to determine market trends and potential trade setups. Aroon helps identify the strength and direction of a trend, while ASH provides insights into the strength of momentum. By combining these indicators, the strategy aims to capture profitable trading opportunities in Ethereum markets. Normally when developing strats using indicators, you want to find some good indicators, but you NEED to understand their strengths and weaknesses, other indicators can be incorporated to minimize the downs of another indicator. Try to look for synergy in your indicators!
Indicator settings:
Aroon Indicator:
- Two sets of parameters are used for the Aroon indicator:
- For Long Positions: Aroon periods are set to 56 (upper) and 20 (lower).
- For Short Positions: Aroon periods are set to 17 (upper) and 55 (lower).
Absolute Strength Histogram (ASH):
ASH is calculated with a length of 9 bars using the closing price as the data source.
Trading Conditions:
The strategy incorporates specific conditions to initiate and exit trades:
Start Date:
Traders can specify the start date for backtesting purposes.
Trade Direction:
Traders can select the desired trade direction: Long, Short, or Both.
Entry and Exit Conditions:
1. Long Position Entry: A long position is initiated when the Aroon indicator crosses over (crossover) the lower Aroon threshold, indicating a potential uptrend.
2. Long Position Exit: A long position is closed when the Aroon indicator crosses under (crossunder) the lower Aroon threshold.
3. Short Position Entry: A short position is initiated when the Aroon indicator crosses under (crossunder) the upper Aroon threshold, signaling a potential downtrend.
4. Short Position Exit: A short position is closed when the Aroon indicator crosses over (crossover) the upper Aroon threshold.
Disclaimer:
THIS ISN'T AN OPTIMAL STRATEGY AT ALL! It was just an old project from when I started learning pine script!
The backtest doesn't promise the same results in the future, always do both in-sample and out-of-sample testing when backtesting a strategy. And make sure you forward test it as well before implementing it!
Comparison with BTC (RSI)显示当前品种与BTC汇率对的RSI值
以此判断强势或弱势品种以及超买超卖
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Display the RSI value of the exchange rate between the current variety and BTC
Use this to determine strong or weak varieties, as well as overbought and oversold
Crypto Trend IndicatorThe Crypto Trend Indicator is a trend-following indicator specifically designed to identify bullish and bearish trends in the price of Bitcoin, and other cryptocurrencies. This indicator doesn't provide explicit instructions on when to buy or sell, but rather offers an understanding of whether the trend is bullish or bearish. It's important to note that this indicator is only useful for trend trading.
The band is a visual representation of the 30-day and 60-day Exponential Moving Average (EMA). When the 30-day EMA is above the 60-day EMA, the trend is bullish and the band is green. When the 30-day EMA is below the 60-day EMA, the trend is bearish and the band is red. When the 30-day EMA starts to converge with the 60-day EMA, the trend is neutral and the band is grey.
The line is a visual representation of the 20-week Simple Moving Average (SMA) in the daily timeframe. "Bull" and "Bear" signals are generated when the 20-day EMA is either above or below the 20-week SMA, in conjunction with a bullish or bearish trend. When the band is green and the 20-day EMA is above the 20-week SMA, a “Bull” signal emerges. When the band is red and the 20-day EMA is below the 20-week SMA, a “Bear” signal emerges. The 20-week SMA can potentially also function as a leading indicator, as substantial price deviations from the SMA typically indicate an overextended market.
While this indicator has traditionally identified bullish and bearish trends in various cryptocurrency assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, range-bound indicators can greatly improve the decision-making process when planning for entries and exits points.
Cryptocurrency Market Sentiment v1.0Introduction:
Capable of observing the market sentiment of the cryptocurrency market
The relative status of BTC and altcoins
How it works:
1. The general uptrend process of the cryptocurrency market is BTC → ETH → high-cap altcoins → low-cap altcoins. When funds cannot push up BTC's market cap, funds gradually flow into smaller-cap altcoins until the upward trend ends.
2. Select ETH as the representative of altcoins, and understand the sentiment and current stage
3. Mathematical principle : divide the price of ETH by the price of BTC, and then apply it to the RSI formula .
How to use it:
1. Similar to the RSI indicator , when CMS enters the overbought zone, it represents an active altcoin market, a passionate market sentiment , and the end of the uptrend.
2. When CMS enters the oversold zone, it indicates the leading stage of BTC in the rising trend or the capital flow back to BTC in the declining process .
3. If CMS is at a low level, long positions should focus on altcoins, and short positions should focus on BTC, and vice versa.
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简单介绍:
能够观察加密市场市场情绪
BTC和寨币的相对状态
如何工作:
1、加密市场一般的上涨过程为 BTC → ETH → 大市值山寨 → 小市值山寨,当资金无法推动大市值的BTC上涨时,资金就会逐渐流向市值较小的山寨,直到一轮上涨结束。
2、选取ETH作为altcoins的代表,通过ETH与BTC的关系来了解加密市场的情绪和目前上涨的阶段。
3、数学原理:将ETH的价格/BTC的价格,随后将其带入RSI公式
如何使用:
1、与RSI指标类似,当cms进入超买时,代表寨币市场的活跃,市场情绪热烈,上涨进入尾声。
2、当cms进入超卖时,为上涨中BTC领涨的阶段或下降过程中资金回流BTC。
3、如果cms在低位,做多应关注altcoins,做空应关注btc,反之亦然。
Customizable Moving Average RibbonThis indicator is a highly customizable moving average ribbon with some unique features.
This script can utilize multiple unique sources, including a non-repainting renko closing price. Renko charts focus solely on price movement and minimize the impacts of time and the extra noise time creates. Employing the renko close helps smooth out the MA ribbon. Insignificant price movements will not cause a change in the plotted lines of the indicator unless a new threshold is breached or a "brick" is created. This is highly useful for quickly identifying consolidation areas or overall flat price movement.
There are two methods for selecting the box size when utilizing the renko source. Box size is critical for the overall function and efficacy of the plots you will visually see with this indicator. Box size is set automatically using the Average True Range "ATR" or manually using the "Traditional" setting. The simplest way to determine a manual box size is to take the ATR of the given instrument and round it to the nearest decimal place. As an example, if the ATR for the asset is 0.18, you would round that number to 0.2 and utilize this as your traditional box size.
The MA ribbon contains eleven adjustable moving average lines. Users can choose to turn off as many as they would like. Users can also adjust the length of the individual moving averages and the source for all moving averages. There are nine types of moving averages to choose from for the ribbon. The MA options are:
Exponential Moving Average = 'EMA'
Double Exponential Moving Average= 'DEMA'
Triple Exponential Moving Average = 'TEMA'
Simple Moving Average = 'SMA'
Relative Moving Average = 'RMA'
Volume Weighted Moving Average = 'VWMA'
Weighted Moving Average = 'WMA'
Smoothed Simple Moving Average = 'SSMA'
Hull Moving Average = 'HULL'
We believe that the ribbons features, including the line color change, help quickly identify trends and give users optimum customization. Users can select from five different color schemes including:
Green/Red
Purple/White
White/Blue
Silver / Orange
Teal/ Orange
Price Distance RatioThis study plots the ratio between current price and the price N days ago.
With N input that is configurable, users can find optimal long/short entries when price is in an established trend and price has diverge far from a given local peak or all time high.
With many years of stock trading the analysis indicates a connection between the distance of price and subsequent returns.
Portfolios of stocks with lower price to local highes ratios generally underperformed portfolios of stocks with higher prices to peaks reached similar N days ago.
The highest returns to previous peak are recorded when buying at the biggest dip.
For example, the purchase at 20% drawdown could generate 25% when price returns to the peak. The purchase at 50% drawdown could generate bigger, i.e. 100% return, when price returns to the peak. And the purchase at 90% drawdown could generate much bigger, i.e. 900% return, in a case the price returns to the peak.
However, buying very far below local peaks on almost all holding periods produces lower CAGR returns because of "timing adjustment". In simple words, typically the drawdown takes less time vs. further recovery.
For example:
👉 The largest BTC drawdown in 2013-2015 took 410 days (Peak-to-Valley) . And the recovery of BTC to new highs took 771 days (Valley-to-Peak) after that.
👉 The 3rd longest drawdown in BTC took 363 days (observed from December 17, 2017 to December 15, 2018). And further recovery in BTC to its new high took almost two years - 716 days .
👉The 4th longest drawdown in BTC took 162 days (observed from June 08, 2011 to November 17, 2011). And further recovery in BTC to its new high took more than a year - 469 days .
The concept of this study could recognizes at least 4 different modes of action.
👉 In a clearly established upward trend traders should be buying (following the trend) when Ratio is above 100% and reducing the size when Ratio turns below 100%.
👉 Conversely, in a clearly established downward trend traders should be shorted when Ratio is below 100% and covering when the Ratio turns back to 100%.
👉 In a sideways movement traders are advised to wait carefully if the Ratio near 100% for a long time, and take a position the trend is clear.
👉 Chartists can analyze the dynamic of the indicator - both in terms of trends and overall level. For example as it shown at the chart.
The understading of the study and rules of "timing adjustments" could genarate the awesome opportunities for stock options traders also, with strategies of selling uncovered call options and vertical call spreads.
// Many thanks to @HPotter and @Wheeelman wizards for their continious support and assistance.
QT suppy demandV1.0 core functions: marking supply and demand areas, marking air decoy/multiple decoy signals, and displaying potential target positions in tables
1. What kind of indicator is this?
This is a practical trading indicator based on supply and demand, which combines many of my practical experience and marks the supply/demand area through complex and accurate calculation, so that you can better identify where the organization has orders, so that you can buy chips at a lower price and sell them to retail investors at a higher price
2. What is the relationship between supply and demand?
Demand: In terms of price, if the market falls short of demand, then the price will stop falling and start to rise
Supply: In terms of price, if the market is oversupplied, then the price will stop falling and begin to fall back
In short, the higher the price, the lower the demand. From the perspective of the seller, the higher the price, the higher the supply
3. What is the supply and demand area?
The supply and demand area is generally the place where the price is reversed, and the price reversal will generally occur in the area where the supply and demand are unbalanced, which is the entry point of the high profit loss ratio we are pursuing
4. Who is your opponent?
Retail price: the price close to or within the supply area is called retail price
Wholesale price: the price close to or within the demand area is called wholesale price
Retail investors generally buy at the "retail price" and sell at the "wholesale price", while professional traders do the opposite, so professional traders are often retail investors' opponents
Professional traders often buy back the chips of retail investors at the wholesale price, and then sell them to retail investors at the retail price
5. How to use this indicator?
: flat down, up flat down, down flat down
(1) Flat fall: yellow+red K line combination is the supply area flat fall combination, which belongs to bearish. Usually, this form requires confirmation of entry, that is, the price can only be sold after it enters this area and stops rising.
(2) Up and down: The combination of green+yellow+red K line is up and down in the supply area, which is bearish. Usually, the form in the pipe is only operational when it occurs at the inflection point of the reversal, or the position of the superimposed supply area can improve the success rate of selling.
(3) Falling flat: red+yellow+red K line combination is the supply area falling flat, which belongs to the bearish area. Usually, the reversal in the market is completed by rising flat falling+falling flat falling. Only those falling flat at the high or middle level have operating prices, and the success rate at the low level is slightly lower
: flat rise, falling flat rise, rising flat rise
(1) Flat rise: yellow+green K line combination is a flat rise in demand area, which is bullish. Usually, this form requires confirmation of entry, that is, the price can only be bought after it stops falling in this area.
(2) Falling flat and rising: red+yellow+green K line combination is a falling flat and rising demand area, which belongs to bullish. Usually, this form can achieve the best profit loss ratio at the low inflection point. Because its bit occurs during inversion.
(3) Inflation leveling: The combination of green+yellow+green K line is a demand area for inflation leveling, which belongs to the bullish. Usually, the neutral form will occur after the occurrence of inflation leveling. The transition from short to long also requires the completion of inflation leveling+inflation leveling, except for the case of negative V.
matters needing attention:
(1) Please do not trade in a large supply and demand area, because stop loss may exceed your risk tolerance.
(2) Please do not trade in a small supply and demand area because there may be very few orders.
(3) The K line leaving the supply and demand area is called the outgoing line. The outgoing line is the big positive line or the big negative line, which belongs to a very full entity. The success rate of the supply and demand area depends on the physical fullness of the outgoing line. The fuller the entity is, the higher the transaction success rate is, of course, it is not an absolute value.
So the core point of supply and demand is to find the demand area to be long and the supply area to be short, so as to ensure a high winning rate and a good profit loss ratio
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中文说明:
V1.0 核心功能:标记供给、需求区,标记诱空/诱多信号,表格显示潜在目标位
1、这是一个什么样的指标?
这是一个以供需为基础的实战型交易指标,里面结合了很多本人的实战经验,通过复杂且精确的计算,标记出供给/需求区域,让你更好的识别机构在哪里有订单,让你以更低的价格购买到筹码,然后以更高的价格卖给散户
2、什么是供求关系?
需求:从价格层面来讲,若市场出现供不应求,那么此时价格将会停止下跌并开始回升
供给:从价格层面来讲,若市场出现供过于求,那么此时价格将会停止下跌并开始回落
简单地说,价格越高,需求量越低,从卖方的角度来看,价格越高越供应量越高
3、什么是供需区?
供需区一般都是价格反转的位置,价格发生反转一般都会出现在供求不平衡的区域,也就是我们所追求的高盈亏比入场点位
4、谁是你的对手盘?
零售价:接近供给区或者供给区内的价格我们称之为零售价
批发价:接近需求区或者需求区内的价格我们称之为批发价
散户一般都会以“零售价”买入,以“批发价”卖出,而职业交易员则相反,所以职业交易员往往就是散户的对手盘
职业交易员常常以批发价回购散户的筹码,然后通过零售价卖给追涨的散户
5、如何使用这个指标?
【看跌形态】:平跌、涨平跌、跌平跌
(1)平跌:黄色+红色K线组合为供给区平跌组合,属于看跌。通常这种形态是需要确认入场的,就是价格在进入这个区域之后止涨才可以卖出。
(2)涨平跌:绿色+黄色+红色K线组合为供给区涨平跌,属于看跌。通常管中形态是出现在反转的拐点位置才有操作意义,或者是叠加的供给区位置才能提高卖出成功率。
(3)跌平跌:红色+黄色+红色K线组合为供给区跌平跌,属于看跌区域,通常市场上的反转都是由涨平跌+跌平跌完成的,跌平跌在高位或中位的才有操作价格,低位的成功率略人低
【看涨形态】:平涨、跌平涨、涨平涨
(1)平涨:黄色+绿色K线组合为需求区平涨,属于看涨。通常这种形态是需要确认入场的,就是价格在进入这个区域之后止跌才可以买入。
(2)跌平涨:红色+黄色+绿色K线组合为跌平涨需求区,属于看涨,通常这种形态在低位拐点位置交易盈亏比才能达到最好。因为它位都是发生在反转的时候。
(3)涨平涨:绿色+黄色+绿色K线组合为涨平涨需求区,属于看涨,通常和中形态是在出现跌平涨之后才会出现,由空头向多头转变也是需要完成跌平涨+涨平涨才能实现,当然V反的情况下除外。
注意事项:
(1)太大的供需区请不要交易,因为止损可能会超过你的风险承受范围。
(2)太小的供需区请不要交易,因为他里面的订单可能会非常少。
(3)离开供需区的K线我们称为出线,出线就是大阳线或大阴线,属于实体非常饱满,供需区的胜率取决于出线的实体饱满程度,实体越饱满交易成功率越高,当然它不是绝对值。
所以供需的核心要点就是,找到需求区做多,找到供给区做空,这样才能保证胜率高的同时盈亏比也很好
Trend Following based on Trend ConfidenceThis is a Trend Following strategy based on the Trend Confidence indicator.
The goal of this strategy is to be a simple Trend Following strategy, but also to be as precise as possible when it comes to the question 'how confident are we that a linear trend is ongoing?'. For this we calculate the 'confidence' of a linear trend in the past number of closing prices. The idea of this strategy is that past a certain confidence, the ongoing linear trend is more likely to continue than not.
Trend Confidence:
The Trend Confidence shows us how strong of a linear trend the price has made in the past number (given by Length parameter) of closing prices. The steepness of the price change makes the Trend Confidence more extreme (more positive for an uptrend or more negative for a downtrend), and the deviation from a straight line makes the Trend Confidence less extreme (brings the confidence closer to 0). This way we can filter out signals by wild/sudden price moves that don't follow a clear linear trend.
Math behind the Trend Confidence:
A linear fit is made on the past number of closing prices, using Ordinary Linear Regression. We have the steepness of the linear fit: b in y=a+bx . And we have the standard deviation of the distances from the closing prices to the linear fit: sd . The Trend Confidence is the ratio b/sd .
Entries and Exits:
For entry and exit points we look at how extreme the Trend Confidence is. The strategy is based on the assumption that past a certain confidence level, the ongoing linear trend is more likely to continue than not.
So when the Trend Confidence passes above the 'Long entry" threshold, we go Long. After that when the Trend Confidence passes under the 'Long exit' threshold, we exit. The Long entry should be a positive value so that we go Long once a linear uptrend with enough confidence has been detected.
When the Trend Confidence passes below the 'Short entry' threshold, we go Short. After that when the Trend Confidence passes above the 'Short exit' threshold, we exit. The Short entry should be a negative value so that we go Short once a linear downtrend with enough confidence has been detected.
Default Parameters:
The strategy is intended for BTC-USD market, 4 hour timeframe. The strategy also works on ETH-USD with similar parameters.
The Length is arbitrarily set at 30, this means we look at the past 30 closing prices to determine a linear trend. Note that changing the length will change the range of Trend Confidence values encountered.
The default entry and exit thresholds for Longs and Shorts do not mirror each other. This is because the BTC-USD market goes up more heavily and more often than it goes down. So the ideal parameters for Longs and Shorts are not the same.
The positive results of the strategy remain when the parameters are slightly changed (robustness check).
The strategy uses 100% equity per trade, but has a 10% stop loss so that a maximum of 10% is risked per trade.
Commission is set at 0.1% as is the highest commission for most crypto exchanges.
Slippage is set at 5 ticks, source for this is theblock.co.
Ultimate Bitcoin StrategyThis is my masterpiece.
I recommend using it following strict rules:
Buy = Wait for the next green Heikein Ashi candle and RSI above 50
Sell: Wait for the next red Heikein Ashi candle and RSI below 50
Use it in H1
Enjoy.
Exponential Top and Bottom FinderThis is an indicator to identify possible tops and bottoms after exponential price surges and drops, it works best on ETH 1D, but you can also use it for bitcoin and altcoins.
It's based on stochastic first and second derivatives of a close moving average
Smart Money Flow Pro (Dual Mode: MCD & MCDX) MI02bSmart Money Flow Pro (MI02b) indicator shows Buyer / Seller activities by calculating series of Price & Volume data, over a certain period of time.
It analyses Institutional fund possible behavior from the pool of data derived from price volume movement every trading day.
RED bar represents percentage of stock holders are currently in profit.
Purple line is RED bar's moving average.
Green bar represents percentage of stock holders are currently in loss.
Lime Green line is Green bar's moving average.
Yellow bar represents percentage of daily traders (buy & sell at the same day).
Pink line is Yellow bar's moving average.
RED bar > 50% shows institution fund has in control, uptrend is likely easier to continue.
BLUE bar > 50% shows retailer fund is stucked inside, downtrend is likely easier to continue.
Crossing of moving average lines indicates changing of trend (reversal sign):
1) Purple line up-crossed Green line - UPTREND
2) Green line up-crossed Purple line - DOWNTREND
Smart Money Flow Pro includes 6 Long/Buy signals (🔺, ⭕️, 👍, 😊, 📈, 🔷)
Each signals comes with individual alert setting.
Disclaimer:
This script indicator is solely for the purpose of education / opinion sharing only, and should not be construed as investment advice or recommendations to buy or sell any security.
Get your trade advise from a legit broker, you are responsible on your own trade.
Thank you.
NSDT Fracking CryptoThis indicator is part of our Fracking series of indicators and is specifically designed for scalping Crypto. It looks for a particular price action pattern/sequence then displays levels and a label on the chart to show a potential entry, target, and stop based on that analysis. Basically enter long through the green zones and short through the red zones. The target levels are not guaranteed to be hit, but are a good guide with high potential. Pivot Point levels were added for additional confirmation of potential key levels.
Trading is risking and you can lose money. Trade at your own discretion and risk. This indicator is only providing potential scalping zones based on recent price action.
GMMAs v2.0 CRYPTO [badshah_e_alam]Hello Traders ,
The GMMAs v2.0 CRYPTO strategy stands for gap modified moving averages designed for cryptos. This is a non Repainting Indicator.
This strategy version is a advanced and modified to one of my previously published indicator named as "gap modified moving average".
I am using my Modified Moving Average indicator for a while. I always wanted to add some more information to moving
averages and made some modification to Moving averages.
The additional Information I have added to the Moving Average helps it to act more quickly based on the price of that
particular asset.
How is strategy gives signals?
when the GMMA'w cross over or cross under the GMMA'y than a trade is taken depending on the filter status.
Info about the settings :
The default setting is for 11m ETHUSD , it works with other cryptos and other timeframe as well . For other timeframes it need to be fine tuned and need little change.
The first category is for the selection of Moving average to be modified and the source to be used for that moving average .
I have added seven moving averages to choose between. SMA works good for me , you can choose and play with other MAs.
following are the option to choose MAs
1.EMA
2.SMA
3.HMA
4.RMA
5.WMA
6.VWMA
7.SWMA
Next option in setting is GMMA'y and GMMA'w :
these two settings define the length and lookback period of the MA you have choosed above.
The length is similar to the length of the moving average chosen to be modified.
The lookback option will look for that number of bars for the modification.
GMMA'w is more sensitive than the GMMA'y. So make sure that the setting input of the GMMA'y is significantly larger than the
GMMA'w.
FILTER:
I have added TradingView inbuilt SUPERTREND as a filter in the strategy, it works very good in filtering out false trades
you can enable/disable it in the settings.
EXIT strategy:
The exit Strategy is based on ATR, Take profit and SL are decided by the ATR in the SL/TP setting option. You can change the RR ratio in the setting.
The backtest settings are as follow:
Initial capital:10k
Initial Commission = 0.000
Initial Pyramiding = 0
Reference :
Thanks to pinecoders and Tradingview community.
my previous gap modified moving average version is :https://in.tradingview.com/script/e3WestBa-Gap-Modified-Moving-Average/
watermark added from:
color gradient framework picked from :https://in.tradingview.com/script/hqH4YIFa-Color-Gradient-Framework-PineCoders/
DISCLAIMER
Any and all liability for risks resulting from investment transactions or other asset dispositions carried out by the user based on information received or a market analysis is expressly excluded by me.
All the information made available here is generally provided to serve as an example only, without obligation and without specific recommendations for action. It does not constitute and cannot replace investment advice. We therefore recommend that you contact your personal financial advisor before carrying out specific transactions and investments.
Do your own research and Risk management before taking any trade.
Volume Delta Histogram and BandsThis study takes the lower timeframe volume from the specified "Volume Data Time Period", and calculates the sum of volume over the user specified "Volume Signal period", doing its best to take an approximation of delta.
This is displayed via a histogram, and can be used to trade divergences, see trends strengthen and weaken as illustrated on the chart below.
You can also display reversal areas, which will show when the "Volume Signal Period" exceeds one half of the average volume plus two standard deviations over the "Volume Comparison Period."
Think of this like bollinger bands for volume trends, when the bands are tight crossing outside them can signal strength, but when they are moderate or contracting it can show an area for a likely reversal.
MAC Trader V2.0 [VK]This script is based on a very simple and affective strategy. Usable for scalp, Trend, Swing, positional Trading. Works on all types of markets(Crypto, Stocks, Commodity, Forex, etc) and symbols.
About The Indicator :
The three lines(Grey upper, Red Mid, Grey Lower) moving with the price direction is Moving average channel (MAC) Which is used to determine the Market Direction. Buy/Sell signals are plotted on RSI Oversold/overbought Which is used For Entries. Small Red Line plotted below the Buy/Sell Signals is Stop loss and The Dotted lines in Green, Grey and Red are the take profit lines.
How to use :
Buy When Buy Signal, Sell When Sell Signal (Entry only After Candle Close). Use The red line below/above signals for Stop Loss. Green Red dotted lines to take profit targets, move your stops above/below as targets hits.
Functions :
Moving Average Channel (MAC) For Direction
RSI for entries
ATR for stops
Support/Resistance Lines to Take Profits
Color candles When Price Above/Below MAC
Additional Feature :
Chop Signals for Scalping/continuation/Mid Entries - This feature can be turned on in the indicator settings Which will plot B/S signals for entries.
TIP : Use MAC input 34,48 for low volatile markets (Indices, Gold , etc)
MRM+R2 [VK] V4.0MRM VK Alert
This is the alert version of MRM strategy.
MACD and RSI can be used multi time frame to filter trend.
It is a very simple strategy which goes long/short when MACD , RSI and MA Trend Changes in higher Time Frame.
Additional Features :
RSI 2 signals to Re-enter
ATR stops plotted below signals
MRM [VK] V4.0 strategyMRM VK strategy
This strategy uses MA, RSI , MACD combined.
MACD and RSI can be used multi time frame to filter trend.
It is a very simple strategy which goes long/short when MACD , RSI and MA Trend Changes in higher Time Frame.
DeLorean-V4 Long/ShortThis study aims to follow the trend of the asset, in longer times it is quite correct, but it can also be used in shorter time to be able to follow the trend of the asset.
Using the Bollinger Bands indicator, to get a better idea of volatility .
This indicator shows me the best trend in the cryptocurrency scenario, but it was very positive, also showing the trend in the "traditional" market.
Configured alerts for Long / Short.
Enjoy!
----------------PT-BR-----------
Este estudo visa acompanhar a tendência do ativo, em tempos maiores é bem assertivo, mas podendo também ser usado em menores tempo para poder acompanhar a tendência do ativo.
Usando o indicador Bollinger Bands , para ter uma ideia melhor da volatilidade.
Este indicador me mostra a tendência melhor no cenário de criptomoedas, mas foi bem assertivo também mostrando a tendência no mercado "tradicional".
Configurado alertas para Long/Short.
Enjoy!
ETH Top Cap [jamesray]This script is modified from Top Cap , as published here.
Historically it matches market tops for ETH