Simple EMA Crossing Strategy TradeMathSimple EMA Crossing strategy, based on crossover Fast exponential moving average = EMA21 and Slow exponential moving average = EMA55.
Default stop loss is 3%, but you can change it.
Default take profit is 9%, it based on stop loss.
Risk to Reward ratio is 1 to 3.
Strategy was tested on BTCUSDT 1H timeframe and works fine with these parameters.
BTCUSDT
Dual MACD StrategyThis strategy Multi Time Frame Macd Indicator
We take the first long position when we have a buy signal in Weekly Macd (Macd line crosses above Signal line). This open a trading window, showed with green background color
We close the first position when either Weekly or Daily Macd give us a sell signal ((Macd line crosses below Signal line))
Enable Profit and Stop in strategy settings with different percentage to backtest the strategy. Also if it is better to use a Traditional Stop Loss or a Trailing Stop Loss based on a percentage from low prices
Change macd resolution in settings for other time frames to test the strategy
This Strategy was tested on Crypto Market with good results in assets as BTC, ETH, BNB, ADA, LTC, XLM, BCH, among others
Optimized Keltner Channels SL/TP Strategy for BTCThis strategy is optimized for Bitcoin with the Keltner Channel Strategy, which is TradingView's built-in strategy. In the original Keltner Channel Strategy, it was difficult to predict the timing of entry because the Buy and Sell signals floated in the middle of the candle in real time. This strategy is convenient because if the bitcoin price hits the top or bottom of the Keltner Channel and closes the closing price, you can enter Buy or Sell at the next candle start price. In addition, this strategy provides Stop Loss and Take Profit functions to maximize profit.
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Recommended settings are below.
- length: 9
- multiplier: 1
- source: close
- (v) Use EMA
- Bands Style: Average True Range
- ATR Length: 19
- Stop Loss (%): 20
- Take Profit (%) : 20
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- length: 9
- multiplier: 1
- source: close
- (v) Use EMA
- Bands Style: Average True Range
- ATR Length: 18
- Stop Loss (%): 20
- Take Profit (%) : 5
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▶ Usefulness and Originality
- Stop Loss and Take Profit functions are available
- Convenient Buy and Sell entry compared to the original Keltner Channel Strategy
- Optimized for BTCUSD market (maximizing profits)
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이 전략은 TradingView의 Built-in 전략인 Keltner Channel Strategy를 비트코인에 맞게 최적화되었습니다. 기존의 Keltner Channel Strategy는 Buy, Sell 신호가 캔들 중간에 실시간으로 떠서 진입 시점을 예측하기 어려운 불편함이 있었지만 이 전략은 비트코인 가격이 Keltner Channel 상단 혹은 하단을 찍고 종가를 마감하면 그 다음 캔들 시작가에서 Buy 혹은 Sell 진입이 가능하여 편리합니다. 또한, 이 전략은 Keltner Channel을 만나서 캔들을 마감한 가격 (bprice, sprice)을 시각적으로 plot을 제공하여 타점 및 차트를 보기에 편리하며 손절가 및 목표가를 지정한 백테스팅이 가능합니다.
Chanu Delta StrategyThis strategy is built on the Chanu Delta Indicator, which indicates the strength of the Bitcoin market. When the Chanu Delta Indicator hits “Delta_bull” and “Delta_bear” and closes the candle, long and short signals are triggered respectively. The example shown on the screen is a default setting optimized for a 4-hour candlestick strategy based on the Bybit BTCUSDT futures market. For the 15-minute candle, "Delta_bull=32", "Delta_bear=-31", "Source=hlc3" are best. You can use it by adjusting the setting value and modifying it to suit you.
If you use this strategy in conjunction with the Chanu Delta Indicator, it is convenient to anticipate alert signals in advance. Since the Chanu Delta Indicator represents the price difference based on the Bybit BTCUSDT futures market, backtesting is possible from March 2020.
BTC Volatility Band StrategyThis script/strategy is a pullback system designed for securities with high volatility so naturally Bitcoin is an excellent choice for trading this. This could be used both on a daily chart or on lower timeframes (I found good results on 3hr timeframe but haven't tested it on anything under 1hr).
A volatility band is created by comparing the candle close price of the previous 2 candles and and it uses this change in price to create a moving average. A band is wrapped around the moving average with a standard deviation of 1 for the inner band and 2 for the outer band. If the price is above a pre-set MA (moving average filter) then it is determined we are in an uptrend so the strategy will issue a buy signal when we are in an uptrend and there is a pullback which causes the lower inner deviation band to be spiked, but if the price continues and falls through the outer deviation band then a buy signal will not issue as this detriments that the volatility spike is to great. You can see a spike "buy" event occur on the indicator where the background is coloured green. For a short/sell then there will be a spike on the upper inner band and we are below the pre-set MA filter, for this it shows with red background on the indicator.
The user can change the date range they wish to test, the moving average period for the volatility tracking and the inner and outer band deviations. On BTC I left the inner deviation and outer deviation bands on standard settings but found the 3 period volatility tracking to be good for trading 1 day chart and the 5 period volatility tracking good for the 3hr chart. Since this is not a buy and hold strategy then for trading you would probably want to stick with the most liquid coins so you can get in and out very fast on any exchange. If you wanted to tray this on less volatile markets then changing the inner deviation band to ~0.75 would work okay in various futures markets likely stocks as well. The take profit and stop loss levels are based on a multiple of the trading range looking back the past 7 candles.
Attached result is trading 1 BTCUSDT contract on Binance.
Linear RSIThis is an attempt to create a strategy based on the previous post. The strategy, as before, is based on the RSI, which is calculated using linear regression, but with the addition of EMA. The crossing of EMA and RSI is a buy and sell signal. There are also two functions to buy (because I haven't decided which is really better), so please use checkbox to order which one you would like to use.
TemaI have found that such simple crossover can show good results. Basically it has only 2 TEMA and nothing more. I don't know what else to write here. The code is simplest and has only one filter, which take into consideration the direction of chart.
Volume AdvancedI have found out this script some time ago. In fact it is not my code (just have modified a little) and I don't know the author (couldn't find). So now I would like to share with the community, maybe somebody would have some idea how to make it better. The script itself is modified volatility oscillator (like ATR) based on volume, making a deal at the moment of price change. To recognize the current trend I have add simple function just to compare the current price with the N bars before, because sometimes in moments of high volatility there may be wrong signals.
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 !
Crypto ZigZag RSI strategy 15minThis strategy is designed for crypto markets like ETHUSD/T, BTCUSD/T and so on.
It works amazingly with 15 min time frames.
Its idea consists in :
We have the RSI indicator, and with it we check for the crossover with overbought and oversold levels. At the same time we have the zigzag which is made from the higher highs and the lower lows between a specific price movement in %.
For entries, they are going to be based on the crossover of rsi with overbought or oversold levels , combined together with cross over 0 line from the the zigzag.
At the same time the strategy has the posibility to go only long, only short or both.
Let me know if you have any questions.
Rsi, Ema , Ma and Bollinger Bands for 1 min BtcusdtThis is for 1 min Btcusdt pair.
I am tring to find a way to catch %1 ups and downs.
Basicly it buys when rsi low and minute candle closes under ema,ma and lower bollinger band,
it sells when candle goes over upper bb,low ma, when rsi high.
It sells when rsi high ,candle closes over upper bb,over low ma and does the opposite when buying.
I know it's crowded but still tring to learn what to do ^^
I welcome any suggestions to improve.
It works better with shorts for now.
Don't buy with this !! You might lose big !
Estamina Trend Strategy By KrisWatersTrend following strategy based on moving avarage crossovers. Strategy provides only long signals. Use only for BTCUSDT pair on 4H timeframe.
Parabolic SAR Strategy (on close) [QuantNomad]Created a Parabolic SAR strategy where price has to close under/above the level before for it to reverse. This way it should be a bit more stable and protect you from false breakouts.
It was impossible to adjust the built-in "sar" function so I implemented PSAR from scratch. So if you're interested in how it's work inside you can check the code and probably adjust to your need if you have a custom modification of PSAR in your mind.
Pivot of Pivot Reversal Strategy [QuantNomad]Continue looking for more signifcant pivot points.
This script is based on my "Significant Pivot Reversal Strategy".
In this strategy I use concept of pivot of pivot points.
So for PoP I require that pivot highs point should have 2 lower pivot highs points around them and pivot low 2 higher pivot lows points.
Transparent lines represent usual pivot levels ints.
Not transparent lines represent pivot of pivot levels.
Link to original script:
EVWBB Strategy [QuantNomad]It's my new strategy using EVWMA (Elastic Volume Weighted Moving Average).
Now I created a Bollinger Bands strategy where basis level is EVWMA.
It looks pretty interesting but you have to be careful with the entries/exits on the same bar, I'm using stop orders, so on big moves it happens pretty often.
In the next version, I will try to eliminate these issues.
Entry for this strategy happens when price crossover upper for long and lower for short. I exit both short and long on basis level.
QuantNomad - EVWMA MACD StrategyPretty simple EVWMA (Elastic Volume Weighted Moving Average ) MACD Strategy.
EVWMA is a quite interesting moving average where the period of the MA is defined from the volume itself.
It incorporates volume information in a natural and logical way. The EVWMA can be looked at as an approximation to the average price paid per share.
As a volume period, you can use sum of the last x bars volumes.
Here are other EVWMA indicators/strategies:
EVWMA indicator:
EVWMA Cross strategy:
QuantNomad - Significant Pivot Reversal StrategyI'm working on improving the Pivot Points Reversal Strategy.
As one of the ways to filter out insignificant levels I decided to check that pivot point is not above/below neighbors, but check that it's above/below at least by a certain amount.
I use ATR, so in params, you can set length of ATR and also ATR multiplier. The new level will be calculated only if PP will be above/below neighbors by atr * atr_mult.
It seems this approach might help in some cases.
Here I have PivotPoint + RSI strategy:
RSI Fibonacci Levels StrategyRSI with Fibonacci Levels
Visually can be used as:
- Countertrend indicator at extreme green/red lines
- Follow trend indicator
- Fibonacci supports and resistantes zones
The strategy works as a follow trend
How to trade:
The indicator is more reliable in longer time frames, at least 4H
Choose a fibonacci level as reference
Buy when the RSI line turns green
Sell when the RSI line turns red
