Linear trendThis oscillator based on linear regression . By subtracting the slower LMA from the faster LMA we can get a value, which we will further compare with zero. If the resulting difference is greater than 0, then we can assume that the trend is upward. Also by using offset we could increase the expected profit (focusing on backtest data).
You could get access for this script by the link below.
Cerca negli script per "bot"
Ninja Scalping: IndicatorThis is a strategy version for scalping signals. The objective of these signals is to accumulate more BTC through buying and selling of Altcoins. Thus, it is expected that these signals yield BTC gains when the crypto market has bullish days, as when BTC bleeds, other coins bleed even more. Let us get ready for the altseason!!
As mentioned above, the goal is to increase BTC's holdings through buying and selling of Alts. However, different Alts react differently against BTC. Therefore, there is no set of parameters that works for all Alts. The good news is that I tried my best to limit the number of parameters required to be tuned for a specific Alt to two. Also, this strategy helps back-test and tune the parameters for the desired Altcoin, with no guarantee that what happened in the past would happen in the future. This strategy is generally conservative, and it does not enter many trades. However, you can be more aggressive by changing the multiplier value: the smaller the value, the more aggressive the strategies. One can be more aggressive when the market is super bullish. Actually, you can test this by playing with the dates for the back-testing to have an idea of what would be suitable parameters when BTC is strong or weak. For the image attached, the strategy is back-tested from Jan 1, 2021, to March 18, 2021, assuming an initial capital of 1 BTC.
For the time span parameter, typical values are 5, 10, 14, 21, 34, 50, and 100. For the multiplier, typical values range between 0.01 and 2.
Use it at your own risk. Feedbacks are more than welcome. Happy trading!
Ninja Scalping: StrategyThis is a strategy version for scalping signals. The objective of these signals is to accumulate more BTC through buying and selling of Altcoins. Thus, it is expected that these signals yield BTC gains when the crypto market has bullish days, as when BTC bleeds, other coins bleed even more. Let us get ready for the altseason!!
As mentioned above, the goal is to increase BTC's holdings through buying and selling of Alts. However, different Alts react differently against BTC. Therefore, there is no set of parameters that works for all Alts. The good news is that I tried my best to limit the number of parameters required to be tuned for a specific Alt to two. Also, this strategy helps back-test and tune the parameters for the desired Altcoin, with no guarantee that what happened in the past would happen in the future. This strategy is generally conservative, and it does not enter many trades. However, you can be more aggressive by changing the multiplier value: the smaller the value, the more aggressive the strategies. One can be more aggressive when the market is super bullish. Actually, you can test this by playing with the dates for the back-testing to have an idea of what would be suitable parameters when BTC is strong or weak. For the image attached, the strategy is back-tested from Jan 1, 2021, to March 18, 2021, assuming an initial capital of 1 BTC.
For the time span parameter, typical values are 5, 10, 14, 21, 34, 50, and 100. For the multiplier, typical values range between 0.01 and 2.
Use it at your own risk. Feedbacks are more than welcome. Happy trading!
[GBPUSD] DinhChienFX Swing [2 orders]* Take advantage of the 59% success rate of order 1 to enter position 2 with a higher Risk / reward ratio,
- Command 1: risk / reward 1/1. 59% success percentage.
- Order 2: risk / reward: 1 / 1.5 If you use Fibonacci retracement, it is 0.6 or 60%. Percent success 51.5%.
- Percent profitable 2 orders: 55%
- Number of consecutive wins in the past: 9.
- Number of consecutive losses in the past: 6. So to avoid psychological influence, choose risk = 1% x6 = 6% for 1 trading signal.
Currently, the Bot assumes 2% (orders 1: 1%, orders 2: 1%)
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Max risk: 2%.
1. Trend identification:
... Keltner: Price through Upper1 / Lower 1 gives 1 point.
...... Uptrend: If price crosses over once, the close on Upper 1.
...... Downtrend: If the price crosses under once, closes below the Lower 1.
... Stochastic:
..... D> 67 for Buy, D <16 for Sell
... ADX: 30 indicates strong trend trend.
...... ADX smooth: 7.
...... DI length: 7.
2. Entry point:
... Buy (BUY): When k cut up D in an uptrend, when D> 67.
... Sell (SELL): When k cuts D in a downtrend, when D <16.
Bollinger Band with RSI
Using combination bollinger band and RSI indicator as guide to predict price volatility and the best entry point. The strategy logic is pretty straightforward where we're interested with close price that touches the lower bollinger band ; there are only two scenarios that will happened after the price reaches the lower band; the price might rebound from the lower bollinger band or drop lower and continue downtrend. To confirm the price movement, we use a second indicator which is the RSI to further investigate the price trend. For example, if the price reaches the lower bollinger band but the RSI value is not in the oversold region, we can conclude that the price will go lower and continue downtrend. If the RSI value is in the oversold region, we can use this price area as our entry point.
Stop loss is necessary to avoid losing too much capital if the RSI value lingers too long in the oversold region.
Best take profit area is when the price rebound above the middle bollinger band area/upper bollinger band or when the RSI reaches overbought region; whichever comes first.
Long entry:
RSI < 30 & close price < lower bollinger band
Exit entry:
RSI > 70
Default stop loss: -25%
rushs bottom feeder and peak eaterThis script works well on the 45 minute and higher charts. Pairs nicely with a DCA bot with trailing stops. Uses RSI over bought and over sold indicators with bullish engulfing or bearish engulfing candle signals, plotted with the EMA 20 and EMA 100.
Parabolic SAR with Volatility Filter: Buy Alerts for 3commasHey folks and fellow 3commas users !
Here is a new signal generator for your DCA bot on 3commas.
This is a classic Parabolic SAR indicator with a filter for volatility.
NOTE: This is a repainting strategy by design. Recommended to use with "Once per bar" alert style for PSAR
MDX Free (PA) Buy/Sell ConfimationThis is a free version of the MDX Crypto trading "bot". Note that this indicator and the MDX version are based on simple code available on trading view or via google search.
This indicator is based on the super trend indicator to provide buy/sell signals at inflection points of uptrends and downtrends. These inflection points are commonly used as entry/exit points for trading. They are represented on the chart as green (buy) or red (sell) arrow.
This also uses two exponential moving averages. One average is set over 21 bars (fast) and the other is set over 55 bars (slow). When the plots intersect it represents a change in momentum. This is shown on the chart as a red (negative change) or green (positive change) diamonds. When a green diamond follows a green arrow it is considered a confirmed buy. When a red diamond follows a red arrow it is a confirmed sell.
Caution:
Caution this indicator is not reliable on its own, especially on low time scales. When looking back in time this indicator will almost always show a "confirmed buy" before a large increase in price, but on many occasions you can have a "confirmed buy" which is followed by a dump in price, that will not trigger sell signal in time. For best results use with 15m to 1h timeframes
Disclaimer:
This indicator is for informational purposes and should be used for educational purposes only. If you rely on this for trading without additional information you will loose money. I am not a financial advisor, or a professional trader. Use at your own risk.
This is an unpolished version. It may be updated and the source code published if it is used.
MDX Free Version (MA)This is a free version of the MDX Crypto trading "bot". Note that this indicator and the MDX version are based on simple code available on trading view or via google search.
This indicator is using two exponential moving averages. One average is set over 21 bars (fast) and the other is set over 55 bars (slow). When the plots intersect it represents a change in momentum. MDX refers to this as a confirmation.
Also shown on the chart is the "Super Trend" indicator. This is the red and green line with inflection points highlighted by a red or green arrow. These points are changes in uptrends and downtrends. MDX refers to this as a "long buy" when green, and a "short sell" when red. Commonly these are buy/sell signals. When a buysignal (green arrow) occurs followed by a change in momentum toward a downtrend, MDX refers to this as a "confirmed buy". When a sell signal (red arrow) occurs followed by a change in momentum toward a downtrend, MDX refers to this as a "confirmed sell". This can been seen more clearly on the MDS Crypto Free Version (PA) indicator which is also available. This uses the same information as the MA indicator, but formatted for the candle chart.
Usage:
Caution this indicator is not reliable on its own, especially on low time scales. When looking back in time this indicator will almost always show a "confirmed buy" before a large increase in price, but on many occasions you can have a "confirmed buy" which is followed by a dump in price, that will not trigger sell signal in time.
Trend Catcher BotTrend analysis strategy with entry filters such as MACD and Tilson T3. It will look at possible entry points and it can use MACD or TilsonT3 filters to decide whether or not enter in a new trade.
Notes:
- Results include a 0.075% Fee.
- Simulated leverage of 5x.
- Initial Capital of $1000.
- Uses a max order size of $200k per trade (Leverage included).
- Stop loss of 1.15%.
- The stop loss is moved to 0.4% Profit once the Trade reaches 1.15% profit.
- All settings adjustable.
- Non Repainting.
LordPepe Stochastic SignalsThis is the Lord Pepe. Howdy. Basic buy/sell indicator to accumulate along a downtrend and release your stack during the uptrend and oversold levels of the stochastic. The buys should be used to stack, and sells indicate levels of profit taking, they do not signal a long term reversal, only < 25% of stack should be released on "OB" signals.
OB - overbought (sell)
OS - oversold (buy)
MACD signal with alert (long/short/close) for TV free accountSend MACD alert through email (available for free/pro user):
// 3 - buy
// -2 - short
// 0 - close position
// 1 - ignore
Example buy signal
Alert: STRAT3. BINANCE:BTCUSDTPERP, price = 31080
Example sell signal
Alert: STRAT-2. BINANCE:BTCUSDTPERP, price = 31080
Example close signal
Alert: STRAT0. BINANCE:BTCUSDTPERP, price = 31080
Example ignore signal
Alert: STRAT1. BINANCE:BTCUSDTPERP, price = 31080
Neo_BTC - CRYPTO - Moonshot signalsCRYPTO - Moonshot signals indicator is designed to work well in trending markets and scalping using the levels in sideways market
FAQs
1. What is the optimal TF (Time Frame) for the indicator?
A. 3 min HA (Heikin Ashi) Candles
2. Will it work on other TFs?
A. Yes, 1min works well as well but less profitable. 1min TF is recommended during High volatility .
3. What does the levels do?
A. There are two levels Buy (B) and (S) Sell which is separated by mid level M.
Above mid level is bullish and below bearish .
As you get the Long or short signal, partially reduce your position at each levels to reduce risk and maximise profits.
4. How to scalp trade on the levels?
A. Depending on the trend you can short or long between the levels
5. How often the signals fire?
A. Only few in a week. But the levels are optimized for swing trades and works well. You are welcome to setup a grid bot to trade between the levels
6. I can only see Sell Labels - no Buy labels?
A. Sell labels are Black and Buy labels are White in colour. So if your TV background is white or black, the labels may not appear. You can change color in the indicator settings.
7. Will it work for Alts?
A. Yes, Alts and other tickers.
Quansium Series A BacktestThis comes with preconfigured setups or strategies. Simply choose one from our list based on the timeframe it was made for. Leverage can be changed; to keep trading safe, a maximum of 2 is allowed. In our findings, this was able to trade crypto (specifically BTC ), MES (Micro E-mini S&P 500 Index Futures ), and stocks. It is important to know that setups A, B, C, and D use variable position sizing, and dynamic stop loss/trailing stop/take profit, these parameters are provided through the alerts. The rest of the strategies were created with a simpler approach in mind, just plainly entry/exits signals.
Quansium as a framework:
Price reformat: we take the price source (Open, Close, High, Low) and remove any noise that affects the accuracy of our signals.
Time awareness: we take several time periods of the data on the chart such as start, end, and whole. We use this to add more depth to our signals.
Position size: our backtest tries to recreate as much as the real world trades as possible so our position is determined by the current equity. We also use the volatility of the market to increase or decrease our exposure or risk.
Risk awareness: stop loss, take profit, trailing stop are the risk exits we use to provide our users some peace of mind. These parameters are totally dynamic and follow the same behavior of the market.
Signals filtering: to make almost non-existent any errors and increase the quality of our trades, our indicators go through multiple phases, this avoid double entries or early exits, and help maintain a record of what has transpired and what’s currently taking place.
Indicators: whenever we can we use custom code or our own functions instead of the defaults ones provided. This gives us total control of what we’re trying to achieve. In many cases we tend to combine several indicators’ logic into one creating a more personalized take on it.
Easiness: since we started our main goal has been to provide the easiest and fastest way to alerts’ creation. It has taken us years to reach this level where now we already provide a list of preset strategies so the user doesn’t have to spend much time tinkering with scripts and more on other matters, because we know life is more than just trading.
Raw signals: we provide the option to turn off as much of our advanced features such as stop loss, take profit, trailing stop, dynamic sizing, etc, etc for a simple approach. Trade signals still go through the signals filtering method mentioned above,
Timeframe pairing: we take trading very seriously, by no way we’ll want the user to lose money (although such thing is expected because past results aren’t an indicative of futures ones), through years of experience we have found what are usually common mistakes the user makes, this feature allows us to only activate the strategy if the right timeframe is chosen.
Trend filters: through the years we have improved the arts of the trend. We like to keep things simple but yet powerful. We observe the macro and micro trend of the security. This helps confirm we are entering at the desirable timing. We also incorporate volume and volatility into decision making, we simply programmed it to trade when these are increasing and higher than the average values observed in both the short and long term. Finally we take into account the strength of the pair to make our final choice of whether to enter or wait, and if anything flashes contrary movement then we cancel the upcoming signal and stop monitoring until the next one comes along.
Full automated risk: stop loss, take profit, and trailing stops usually are set in percentages, and optimized even more using the current market behavior to become more adaptive. But always remains some sort of fixation, so the user must choose a value somewhere. This is where our framework shines the most, as previously mentioned before when we take time into our calculations, we use several periods to observe performance and get values that keep our risk exits natural and closest to the flow of the market itself.
Setups:
A: Centered oscillator with the difference of several moving averages with more sensitive settings. Momentum focused.
B: Centered oscillator using simple moving averages. Trend-Following focused.
C: Centered oscillator using smoothed data with the help of faster moving averages. Trend-Following focused.
D: Centered oscillator with the difference of several moving averages with less sensitive settings. Trend-Following focused.
E: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses less sensitive settings. Trend-Following focused.
F: Finds the relationship between multiple readings of the price’s relative strength to better pin-point downs and ups. Trend-Following focused.
G: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses more sensitive settings. Momentum focused.
H: Multiple centered oscillators using various moving averages. Trend-Following focused.
I: Centered oscillator using simple moving averages. Momentum focused.
Note: The framework is composed of almost 1000 lines of code as compared to each indicator that makes up the setup which is around 10. The power from Quansium doesn't come from the strategies themselves but rather the overall system that turns simple signals into complex and advanced trades.
Strategy Tester:
Initial Capital: chosen value is $20,000, as an approximate to Bitcoin’s ATH (All-Time High). In previous iterations we noticed some trades won’t go through if the capital was less than the ATH.
Order Size: 100% of equity (although the script controls this, and this is of no regards to the results).
Pyramiding: 1, system doesn’t place multiple entries in a row, only one at a time.
Commission: This simulates order execution with custom trading fees. Commissions are turned off by default because this script works in various markets and each operates differently. In order to reach results that are close to real world conditions, it is imperative the user fills this based upon their broker or exchange data.
When we started, we were focused on finding the best indicator, or creating it ourselves. After years we came to realize that the secret is not in which indicator you use but the framework behind it. All strategies have bad, good, best, worst performance periods. The key of a good system is to help keep you safe when it’s down and maximize your potential when it’s up. We hope this material at the very minimum inspires you to keep going and not lose faith, because it is not the smartest who win but those who persevere.
