Companion::InsurgentCompanion::Insurgent is a combined indicators strategy. Performances are pretty good on 1D, 4H and 1H timeframes and it can be used on Bitcoin and Altcoin markets.
Mainly, it is a trategy based on Ehlers formulas.
Used indicators:
- Ehlers Instantaneous Trend: trendline analysis;
- Ehlers Super Bandpass Filter: momentum detection;
- EMA: Long/Short time selector.
What the script does:
- determines trendlines combining mulitple indicators;
- automaticlally calculates Take profit and Stop Loss levels;
- permits automation generating Autoview signals (create an alert with {{strategy.order.alert_message}} in message text field to trap Autoview commands;
- supports for margin trading. Spot trading will be added in the future.
BACKTESTING
Backtest is not leveraged. Defaults are set as follow:
Capital: 10000
Percent of equity used for trades: 10%
Commission: 0.18% this is Bitfinex commission on orders
Change them accordingly on how you trade to get a more realistic backtest results.
Cripto
NYCOB Kill Zone StrategyI have now turned the NYCOB Kill zone into a stand alone strategy!
Fully customizable in regards to time of entry and levels of entry but the standard settings are the best all around.
Original NYCOB Kill Zone text below
This script plots the H and L of the first 2 hours of the NYC session and shades the space between in which i deem the NYC Order Block
It also maps out the First two hours on the chart as well so you can understand when the OB has formed
Over the past 3 years of trading cryptocurrency i have noticed a phenomena that has occurred nearly every day
The H or L will 90% of the time will be posted in the first two hours of this session
knowing this means you understand if you just wait til this time you can better your odds at not getting stop hunted due to poor entry
A few things to take from this study are these.
1. after the OB is formed
2. whichever side gets taken out first (H/L) will 90% define the bias for the day. I have found that using the m13-m15 TF will add some more confirmation with 1-2 closes outside of range H/L/
3. After general bias has formed 2 things can happen
A) PA just takes off and there is really nothing you can do about it unless you had other studies that told you that will happen
B) PA will dip back INTO the OB and create the OTE which is any retracement below the .5 Fibonacci of the shaded OB
4. Typically OTE happens after the session has ended
5. If you used OTE off of the past days NYCOB then you can use the new (forming or just formed) NYCOB to CONFIRM your initial bias presented from the previous days OTE and bias.
6. When PA cannot close outside the NYCOB it presents a range to range play where PA will visit the opposite side of the range to chase liquidity,
7. When the NYCOB is TIGHT then deviation is more likely to result in price expansion, when the NYCOB is WIDE then deviation tends to present more range to range plays.
8. After bias is formed and OTE has been made your stops should always be outside the NYCOB. I use the m30 or H1 ATR to get a slight cushion from the OB to ensure i dont get stop hunted.
Standard TP are all set at the same level but you can adjust them accordingly
Shout out to Elevate-Trading family member Boederzeng for helping me with the code!
BTC/1H Long Strategy1) At present, six indicators are used for trend combination, including ATR / RSI / ROC / EMA / SMA / MACD .
2) Trend strategy is usually not very good, but any band can be stable profit.
3) BTC / usdt for any exchange, 1 hour time zone.
4) It is expected that the actual measurement will start in February. Please look forward to it.
1）目前使用了六種指標做了趨勢組合，其中包ATR/ RSI / ROC / EMA / SMA /MACD。
2）趨勢策略通常勝率都不太好，但是任何波段都能穩定獲利。
3）適於任何交易所的BTC/USDT，1小時時區。
4）預計3月開始能開始實測，屆時敬請期待。
hamster-bot HD preset_2presets for users
// DESCRIPTION OF STRATEGY ver. 2
HiDeep Strategy
Author foresterufa
This is a counter-trend strategy that is gradually gaining a position against the trend at the best price.
A prerequisite for completing a position is the price exit from the internal channel on the chart and the appearance of the HiDeep indicator.
The condition for closing the position is touching the opposite side of the internal channel.
A condition for facilitating closure along the middle line of the channel, with high price volatility , is that the price touches the border of the external channel.
Input signals are generated by HiDeep indicators. Closing a position by moving averages.
trendOne [Strategy]BITSTAMP:BTCUSD
trendOne
(strategy-tester)
It is not recommended to use this script for generating alerts. Use "trendOne Alerts" instead.
This script combines all our previous trend-based scripts (Bows, Autopilot, Trend Indicator, Price Deviation, etc) in only one script .
To calculate the trend we use:
Volume Weight
Average True Range
Bows calculations
Trends smoothed with alma() function.
For more accuracy on the signals and to filter unwanted signals we layered slower time-frames in the background and added breaking support & resistance rules.
Inputs
Sensitivity
Integer input. Sets the sensitivity for signals generated up and down. Higher values will generate less signals on chart, and vice-versa.
Enjoy!
Disclaimer:
Back-tests do not guarantee performance on the future. Even if a trading setup is profitable in historical data, it could be unprofitable in the future.
To get access to this and other scripts check links below.
Ichimoku Crypto LONG 3h ANY CRYPTO PairThis is a strategy which works with most of the crypto pairs on the 3H time frames.
It beats easily on the long term buy and hold strategy.
This strategy is made from the baseline from ichimoku together with ema 200
This is a long only strategy.
THe condition is : our candle is above ema 200 and our ichimoku its telling we have a long trend. We exit on the opposite signal.
If you have any questions private message me !
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.
OBV_RMA_CRYPTO Buy and Hold Destroyer free versionThis is a free version which use part of the logic that I am applying on my destroyer/annihilation series of strategies.
This 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.
For risk management, we have a hard stop loss on the equity of 25%.
The components for the inside of the strategy are the next one :
1. OBV- SoftKill Version adapted to cryptos
2. ATR - SoftKill Version adapted to cryptos
3. RMA Rolling moving average
The rules here are simple we check for the trend direction with ATR and then we check for cross up or above on OBV and RMA moving average. Based on this we enter long or short.
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.
Heikin Ashi + Price Action Crypto LONG StrategyThis is a simple and efficient crypto strategy, designed for big timeframes like 12/24h.
On history it beats buy and hold strategy in many ocasions, and because of a low DD, pyramid can be used to elevate our winnings while still keeping a low DD < 40% avg.
For the purpose of this example, I used 100% of the capital on each trades, together with a comission of 0.1%
Warning : THERE IS NO STOP LOSS ON THIS STRATEGY ,USE IT AT YOUR OWN RISK
This strategy is made with inside Heikin Ashi candles , together with some price actions logics like for long Close > High and green candle and High > High .
We exit when we have a red candle and the current close is lower than the previous Low
If you have any questions, message me in private !
Heikin-Ashi Change Strategy/ Indicator
Today I bring you a simple and efficient indicator/strategy based only on HA.
Can be used together with other TA tools or alone.
The idea behind is simple :
We have to forms to calculate the candle, using inner HA candles or normal candles. Once we have that we apply certain rules to get the max high, min low, open and close(ohlc)
With that then we check for changing in the patters like for example
For long close is higher than open and the previos close is lower than open. For short is going to be the opposite of long condition.
For the purpose of this example, I only use long direction and exit once we have the short signal.
If you have any questions, please let me know in private chat !
Momentum Strategy (BTC/USDT; 30m) - STOCH RSI (with source code)Here's a strategy for low time frames (30min suggested) for BTC , based on momentum Analysis using Stochastic RSI
By default the strategy will use the 50% of the specified capital for each trade; if "Gamble Sizing" is enabled, it will add the specified amount of capital (25% by default, until reaching the 100% limit or lower) for the next trade after having detected a loss in the previous trade; if the next trade is successful, the size for the next trade comes back to 50%
• Trend Filter LONG: If the fast exponential moving average is UNDER the slow exponential moving average , it won't open LONG positions
• Trend Filter SHORT: If the fast exponential moving average is ABOVE the slow exponential moving average , it won't open SHORT positions
• Bars delay: the strategy will wait the specified amount of bars before closing the current position; the counter is triggered as soon as the closing trade condition is verified
BY MAKING USE OF THIS STRATEGY, YOU ACKNOWLEDGE AND AGREE THAT: (1) YOU ARE AWARE OF THE RISKS ASSOCIATED WITH TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; (2) YOU SHALL ASSUME ALL RISKS RELATED TO THE USE OF THIS STRATEGY AND TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; AND (3) I SHALL NOT BE LIABLE FOR ANY SUCH RISKS OR ADVERSE OUTCOMES.
SOURCE CODE BELOW
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.
Maximized Moving Average Crossing (by Coinrule)Using the crossings of two Moving Averages to trade in a trading strategy is a Trend-Following approach. As the name would suggest, to be successful, it requires the asset to be on-trend.
The general limit of a common strategy based on Moving Averages is that they underperform when the market is less volatile or trading sideways. When volatility compresses, the indicators get very close one to another, crossing each other very often. That's exactly the condition when trend-following strategies underperform.
To improve this strategy, it's useful to filter the buy signal using the RSI. When the RSI is close to overbought conditions, that means that the coin is likely trading in an uptrend. Strong uptrends usually come with RSI values that stay overbought for long periods, creating interesting opportunities.
Setup
Buy condition: the MA9 crosses above the MA50, and at the same time, the RSI has a value greater than 55.
Sell condition: the MA9 crosses below the MA50.
The strategy is optimized to provide better results on the 1-hr time frame, but it could work well also on higher time frames, such as the 4-hrs.
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
Momentum Strategy for cryptos (V7.B.4)Here's a strategy for low time frames (30min suggested) for BTC, based on momentum Analysis using Stochastic RSI
By default the strategy will use the 50% of the specified capital for each trade; if "Gamble Sizing" is enabled, it will add the specified amount of capital (25% by default, until reaching the 100% limit or lower) for the next trade after having detected a loss in the previous trade; if the next trade is successful, the size for the next trade comes back to 50%
• Trend Filter LONG: If the fast exponential moving average is UNDER the slow exponential moving average, it won't open LONG positions
• Trend Filter SHORT: If the fast exponential moving average is ABOVE the slow exponential moving average, it won't open SHORT positions
• Bars delay: the strategy will wait the specified amount of bars before closing the current position; the counter is triggered as soon as the closing trade condition is verified
BY MAKING USE OF THIS STRATEGY, YOU ACKNOWLEDGE AND AGREE THAT: (1) YOU ARE AWARE OF THE RISKS ASSOCIATED WITH TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; (2) YOU SHALL ASSUME ALL RISKS RELATED TO THE USE OF THIS STRATEGY AND TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; AND (3) I SHALL NOT BE LIABLE FOR ANY SUCH RISKS OR ADVERSE OUTCOMES.
Heiken Ashi MTF Strategy- IndicatorHello, this is both a strategy and indicator that revolves around Heikin Ashi candles.
In this case we take 3 different time frames, in this example we use daily , weekly and monthly.
The conditions for entry are :
For long : we check that we have a green daily candle, at the same time we check that the weekly and monthly candles are also green.
For short : We check that all candles, daily, weekly and monthly and red.
For exit of long : as soon as 1 of the 3 candles, daily or weekly or monthly converts to red, we exit.
For exit of short : as soon as 1 of the 3 candles converts to green, we exit.
This strategy- indicator can be adapted to any type of market.
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.
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
PpSIgnal Algorithm Trade System SUSHI Algorithm-based solely for trading SUSHI USDT.
Initial capital 50 USD, you buy the maximum of the capital since it represents little money at the beginning, you can risk less capital in percentage, for example, 10% of the 50 USD.
Commission 0.0045% per contract, we use the commission of one of the best-known brokers.
You can adjust the slippage you consider.
Date of time strategy
You can choose the start day and the end day of the backtesting test.
Money management
Take profit to buy 0.5%
Stop Lose sell 1%
Take Profit 1%
Stop Loss 1%
How it works?
The system works by looking for trends and volatility in a 15-minute time frame.
Once the system finds the trend and volatility, it opens an operation looking for a profit at the buy of 0.5% and loss control of 1%.
For Sell operations, it will seek a 1% profit with a 1% loss control.
You can find the profit you want
Crypto BOT lower timeframesThis is a crypto bot designed for lower time frames.
Its made of 2 EMA, one fast and one slower . They are combined together with Stochastic, MACD and price action patterns.
For entries we have multiple conditions :
First we check if one of our last 4 closed candles crossed above or below the faster EMA. After that for long, we check that last close is above the fast EMA, that the fast ema is above the slower EMA, at the same time that the histogram from MACD is positive and that we have crossover with the oversold line on stochastic. For the short , the opposite of long.
For exit we have TP/SL mechanic based on price % movement, in this example if the price moved 10% from the initial position it will exit.
Profits Unlimited Pro Strategy** This is the backtesting (strategy) version of ~ Profits Unlimited Pro ~ proprietary script in TradingView. **
~ Profits Unlimited Pro Strategy ~
֎ Trading system script on tradingview that brings an easy approach to trading with a high profitability rate
֎ Our proprietary formula was developed over the course of the past two years through a combination of trial and error and algorithmic backtesting.
-- HOW IT WORKS --
֎ The algorithm starts with a proprietary script combining custom inputs with a formula that works with custom bollinger bands settings and specific RSI levels to results in deadly accurate signals for long and short entry points.
but that's not all...
֎ When we first developed our formula, we noticed that it produced a lot of accurate signals but also didn't fully understand the dynamics of market momentum and trending directions...
...so there were a lot of needless calls being made that were reducing profitability.
You see, most markets spend roughly 80% of the time trading sideways with no significant trend either up or down...
...And trading these sideways markets commonly result in what's called a "whipsaw"...
A whipsaw is when price is moving in one direction but then quickly pivots to move in the opposite direction resulting in a loss. And nobody wants to be stuck trading in a sideways market getting killed by whipsaws all day...
So what did we do to fix this?...
-- THE WINNING FORMULA --
֎ We added the Average Directional Index into our custom formula with a goal of teaching the algorithm to only trade during periods of strong momentum and trends whether up or down.
֎ We also added trend exhaustion levels to give clear indication for exit signals and help determine best times of getting out of a trade.
֎ Trend Exhaustion Levels work in conjunction with trailing stop loss % and both are customizable for ideal exits and profitability.
֎ The results are mind blowing!
-- WHO IT'S FOR --
֎ Optimized for crypto markets, to catch trend movements as soon as possible and maximize profitability
֎ It's A Swing Traders Dream.
-- What You Get --
֎ Sell & Buy alerts, Stop Loss alerts and always adding new features!
֎ Customizable settings.
֎ Chrome Extension in development for fine-tuning settings automatically(COMING SOON)
-You will be able to select an asset. push a button. and the extension will find the best settings for you!
֎ Users Facebook community for learning, sharing and direct support
If you’d like to test the trading script in TradingView, I can give you access to a 10 days trial.
Please send me PM in tradingview and I’ll activate it right away.
Thank you!
Companion::DivergentCompanion::Divergent is a combined indicators strategy optimized for Bitcoin Markets and tested on Bitfinex.
Mainly, it is an Ichimoku based strategy.
Used indicators:
- Ichimoku (displayed on chart): trendline analysis;
- Double Hull MA (displayed on chart): trendline analysis;
- MACD (not displayed): confirmative/momentum detection;
- CCI (not displayed): confirmative/momentum detection;
- ATR: used toghether with Ichimoku to determine Stop Loss/Take Profit levels;
- VWMA: For implementing trailing stop orders based on volumes.
What the script does:
- determines trendlines combining mulitple indicators;
- automaticlally calculates Take profit and Stop Loss levels;
- permits automation generating Autoview signals;
- supports for margin trading. Spot trading will be added in the future.
It can be used on 1D or 1H timeframes but it can be adapted for other time frames tweaking the parameters. I used it a lot on Bitfinex on 1H timeframes. Please check parameters: if you will use the strategy on D or higher timeframes, the "Legacy Chikou analysis" option should be checked.
BACKTESTING
Backtest is not leveraged. Defaults are set as follow:
Capital: 10000
Percent of equity used for trades: 10%
Commission: 0.18% this is Bitfinex commission on orders
Change them accordingly on how you trade to get a more realistic backtest results.
GreenCrypto PR Strategy for Swing TradesThis is a very good strategy for Swing Trading, I have been using this strategy for very long time and made good amount of profit using this. This works great for both long trades and short trades, Stop loss and Take profit target is must while entering the trade, this make sure that the trade ends up in good profit and in case if the market revers, ends in only small loss.
This strategy works using the pivot points, we calculate the pivot point using the number of candles mentioned in the input field "leftBars" and "rightBars", if you add more number of bars then the frequency of the trade decreases. for example with the leftBars as 4 you will get less trades than the leftBar=2. Every trade entry is represented using "Buy" and "Sell" signals, whenever there is a new signal chart shows buy/sell signal for limit price, you need to add a limit order for the same price.
Parameters:
LeftBars = Number of left bars should be used for calculating the pivot pints, (more bars means less frequent trades)
RightBars = Number of right candle bars used for calculating the pivot points (more bars means less frequent trades)
Date/month/day : for selecting the right backtesting the period (currently it set to Jan 2018 to current day )
for this backtesting i have used 1000$ capital and with 10% capital used for each trade, free to modify it as per your needs.
This strategy works best on 4H time frame but you can also try backtesting on other time periods.
The default parameters present in the strategy is works best for most of famous cryptocurrencies on 4H time period.
Please DM me if you would like to tryout 7 Days free trail.
