Kifier's MFI/STOCH Hidden Divergence/Trend BeaterMFI/STOCH Hidden Divergence/Trend Beater
General Idea:
My premise around this strategy was to make a general strategy for crypto that would help out with finding entry positions for when you’re bullish on a crypto and want to hold on for a while, and at the same time avoiding massive drops. Essentially a way to mix long term/ swing trading; I somewhat achieved my goal however it still requires a lot of logic tuning of the trend averages.
I’m a huge proponent of volume indicators and coupled with average closing price, I think this gives a really good idea of what is happening with the market. It gives an idea on the market and retail investor sentiment. This generally gives you logical entry positions (Although I don’t know how amazing that will work with all cryptos, there’s a fine line between a good strategy and one that just rides bubble market conditions, some would argue that’s still a success and others not)
How it works:
There are many components to the strategy that try to do different things:
First of all there are two types of entries, a MFI hidden divergence with a STOCH check, essentially it will only fire when a divergence is detected while STOCH is above 50%, however this might be changed in the future as due to the volatile nature of cryptos, the STOCH is not too effective. The second entry is a simple MFI/STOCH trend, if STOCH is above 50% and the trend is detected to be in a trending long, once a MFI crossover over the 50% line is detected an entry is placed, this is designed to get out profit where the divergence would otherwise be less accurate during strongly trending conditions.
-MFI is a great indicator, as a volume weighted momentum indicator I find it the most accurate of all, the STOCH however is a great indicator to get a general picture of simple market conditions and can filter out the emotional noise of retail investors.
-VWMA and an SMA (The bottom oscillator) gives an idea of the trend tacking into account of the volume, this serves as a more short term filter of the trend for filters.
-OBV checks are done between the OBV and an EMA of the OBV, to get the idea of a volume weighted long trend, which is important for crypto as there are massive rallies to go up due to retail greed, it’s great to jump onto it at the beginning, and get off before the stack of cards fall apart.
-ATR is used to detect when the market is relatively just ranging or moving sideways, which is where the hidden divergence entries are done, during predictable and profitable market conditions.
- Stop loss is based on the closest support of the entry, this is a nice medium of room to breath but also an actual stop loss.
Future plans and improvements:
Currently there’s a lot I want to improve, mostly the divergence detection and the overall sharpe ratio could be much better, but the current value of 0.5 gives me hope that the strategy is onto something. I also want to change TP from a percentage stop to something more dynamic but that might be too optimistic. The current plan is to paper trade test this either by manual or by a python bot, to see how it performs with some user input as well.
Đường Trung bình trượt
EMA Bounce StrategySimple strategy that checks for price bounces over an Exponential Moving Average. If the CLOSE of the candle bounces
back from having it's LOW below the EMA then it's a Bull Bounce. If the CLOSE of the candle bounces down from having it's
high above the EMA then it's a Bear Bounce. This logic can be reversed.
PMA Strategy IdeaThis strategy idea uses three EMAs on HLC/3 data, know as PMA(Pivot Moving Average). This strategy is very useful in trending instruments on 1W and 1D timeframes. This is the implementation used in QuantCT app. The study version of this idea is published in public library as ACD PMA .
You can set operation mode to be Long/Short or long-only.
You also can set a fixed stop-loss or ignore it so that the strategy act solely based on entry and exit signals.
Trade Idea
When all EMAs are rising, market is considered rising (bullish) and the plotted indicator becomes green.
When all EMAs are falling, market is considered falling (bearish) and the plotted indicator becomes red.
Otherwise, market is considered ranging and the plotted indicator becomes orange.
Entry/Exit rules
Enter LONG if all EMAs are rising (i.e. when the plotted indicator becomes green).
Enter SHORT if all EMAs are falling (i.e. when the plotted indicator becomes red).
EXIT market if none of the above (i.e. when the plotted indicator becomes orange).
CAUTION
It's just a bare trading idea - a profitable one. However, you can enhance this idea and turn it into a full trading strategy with enhanced risk/money management and optimizing it, and you ABSOLUTELY should do this!
DON'T insist on using Long/Short mode on all instruments! This strategy performs much better in Long-Only mode on many (NOT All) trending instruments (Like BTC , ETH, etc.).
Stochastic RSI + WMA + SMA strat// "...an entry signal it's a cross down or up on
// the stochastics. if you're in a downtrend
// on the hourly time frame you
// must also be in a downtrend on the five
// minute so the five period has to be below the 144
// as long as the five period is still trading below
// the 144 period on both the hourly and the five minutes
// we are looking for these short signals crosses down
// in the overbought region of the stochastic. Viceversa for longs"
// Works well with a wide stop with 20 bars lookback
// for the SL level and a 2:1 reward ratio Take Profit .
// These parameters can be modified in the Inputs section of the strategy panel.
Aggregate BTC Volume + EMA Strat// This strategy buys when the price crosses the Fast EMA. It can go long only
// when the price is above the slow EMA and short when is below. The exit
// is determined by volume spikes, when the volume is greater than the Volume
// MA multiplied by the assigned input multiplier. Thanks to MartinShkreli
// for the Aggregated BTC volume. There is also a Maximum Loss filter which
// should be modified depending on the traded market.
2nd Grade StrategyThis is a strategy to complement the 2GT indicator. It utilises the same rules as 2GT.
This is comprises of multiple popularly used indicators to help decide on whether to go long or short. This indicator will overlay the MA lines and background colours on your chart.
The heikin-ashi colour will be shown as the background colour. This will help you identify a trend more easily while using bars, candles, hollow candles, etc. When the background is green, it means that it is a green HA and vice versa.
The blue MA line is for showing the short-term trend. The red MA line is for showing the medium-term trend. You can select the moving average flavour of your choice in the settings.
The yellow MA line is the long-term trend that is mainly used as a filter to indicate bullish/bearish trend. The MA type for this filter can be different from the short/mid term MA.
This indicator will also show Stochastic crossovers (GC, DC, BC) on the chart. This will help to always keep your eye on the chart candles.
In the settings, you can also turn on/off bullish/bearish signals.
Rules for bullish signals on this indicator:-
1. MA: Blue > Red > Yellow (FastMA > SlowMA > FilterMA)
2. Stochastic: K > D and both are heading upwards
3. 2nd Green HA
When 2 out of the 3 rules are met, the candle background will be Aqua in colour. When all 3 rules are met, the candle background will be Green .
Rules for bearish signals on this indicator:-
1. MA: Yellow > Red > Blue (FilterMA > SlowMA > FastMA)
2. Stochastic: D > K and both are heading downwards
3. 2nd Red HA
When 2 out of the 3 rules are met, the candle background will be Orange in colour. When all 3 rules are met, the candle background will be Red .
Do note that you can hide any of these elements in via the settings.
If you find this useful, do smash the LIKE and FOLLOW button.
WSLM
Momentum Trading By Mahfuz AzimA following indicator is Momentum Trading that uses fast QQE crosses with Moving Averages
Use for trend direction filtering. QQE or Qualitative Quantitative Estimation is based
Relative strength index (RSI), but uses a smoothing technique as an additional transformation. Three crosses can be selected (all selected by default)
4 MA Strategy + Position Management// This is a simple crossover Moving Average strategy, good for long term crypto trades.
// It buys when the MA "X" crosses up the MA "Y", viceversa for shorts.
// Both MAs are selectable from the Inputs section in the front panel.
// There is also a Position Management option thats
// sizes positions to have the same USD risk (using leverage) on each trade,
// based on the percentage distance to the stop loss level.
// If you turn this option on you will see how the profit
// grows exponentially while the drawdown percentage almost remains the same.
255 EMA Strategy//--- From 15 Trading Examples by Trader Alyx ---
// Seems like this strategy works better if we reverse the EMA filter logic.
// "Description: This basic scalping strategy allows you to enter the market based upon sentiment
// provided by the EMA, set at 255 periods. When price is trading below the 255 EMA, you would
// look to enter a LONG BUY positions, and when price is trading above the 255 EMA, you would
// look to enter a SELL SHORT position. The MACD lagging indicator will show you clear signals for
// when to do this. When the MACD lines cross in a bullish manner and price is below the 255
// EMA, buy. When the MACD lines cross in a bearish manner and price is above the 255 EMA,
// sell.
// NOTE: Make sure that price is trading away from the 255EMA before entering a LONG or SHORT
// position. As you can see in the chart below, the clearest signs for trade entry were presented
// when price was trading AWAY from the 255EMA"
DEMA/EMA & VOLATILITY (VAMS)The biggest issue with momentum following strategies is over signaling during whipsaw periods. I created this strategy that measure momentum with DEMA (Fast Moving) and EMA (Slow moving). In order to mitigate over signaling during whipsaw periods I implemented the average true range percentage (ATRP) to measure realized volatility. If momentum is picking up while volatility is under a certain threshold it purchases the security. If momentum slows while volatility picks up it sells the security. Additionally, if momentum picks up, but volatility is high, it stays out of the security. This follows the theory that during sustained uptrends volatility will decrease, and during market corrections the volatility picks up. Following the old adage that markets climb up the stairs, and fall out the window. Note that this strategy does repaint due to it entering and closing positions at the close of the bars. I forgot to mention how volatility is measured high vs low. If the ATRP is above the EMA of the ATRP the strategy interprets the volatility is increasing and does not enter the security & Vice Versa for selling (with momentum signal of MAs)
This is just my first strategy, any feedback would be much appreciated.
CCI & EMA strategy by TradeswithashishThis strategy is extremely useful for positional traders or traders using timeframe 15-minute of higher. It uses following combo of values:
VWAP, CCI, Volume and Moving average (simple and exponential)
Caution:
Avoid taking trade if candle size is greater than twice the average candle size. for that wait for the retracement to near trailing stoploss
RSI Cross [xaurr]This is simple but profitable rsi cross strategy, to find optimal values you can change rsi and ema periods.
Good Luck!
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.
MACD ReLoaded STRATEGYSTRATEGY version of MACD ReLOADED Indicator:
A different approach to Gerald Appel's classical Moving Average Convergence Divergence.
Appel originaly set MACD with exponential moving averages.
In this version users can apply 11 different types of moving averages which they can benefit from their smoothness and vice versa sharpnesses...
Built in Moving Average type defaultly set as VAR but users can choose from 11 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
In shorter time frames backtest results shows us TILL, WWMA, VIDYA (VAR) could be used to overcome whipsaws because they have less numbers of signals.
In longer time frames like daily charts WMA, Volume Weighted MACD V2, and MACDAS and SMA are more accurate according to backtest results.
My interpretation of Buff Dormeier's Volume Weighted MACD V2:
Thomas Aspray's MACD: (MACDAS)
HYE Mean Reversion VWAP [Strategy]An RSI filtered version of PJ Sutherland's Jaws Mean Reversion algorithm using volume weighted average price (VWAP) instead of simple moving average (SMA).
"Long" on the close when;
1-) 2 period VWAP closes 3% or more below the 5 period VWAP ,
2-) 5 period exponential average of the 2 period RSI is below 30.
"Exit Long" on the close when;
1-) 2 period VWAP closes above the 5 period VWAP.
"Short" on the close when;
1-) 2 period VWAP closes 3% or more above the 5 period VWAP ,
2-) 5 period exponential average of the 2 period RSI is above 70.
"Exit Short" on the close when;
1-) 2 period VWAP closes below the 5 period VWAP.
*** You can change the needed percentage for long and short trades, periods of VWAPs and RSI levels.
*** You can select the trend direction: "Long Only" , "Short Only" or "Both". Default is "Long Only".
I used the "VWAP with period" indicator code of @neolao. Special thanks to @neolao.
Indicator Link:
HYE Mean Reversion SMA [Strategy]An RSI filtered version of PJ Sutherland's Jaws Mean Reversion algorithm.
"Long" on the close when;
1-) 2 period simple moving average closes 3% or more below the 5 period simple moving average,
2-) 5 period exponential average of the 2 period RSI is below 30.
"Exit Long" on the close when;
1-) 2 period simple moving average closes above the 5 period moving average.
"Short" on the close when;
1-) 2 period simple moving average closes 3% or more above the 5 period simple moving average,
2-) 5 period exponential average of the 2 period RSI is above 70.
"Exit Short" on the close when;
1-) 2 period simple moving average closes below the 5 period moving average.
*** You can change the needed percentage for long and short trades, periods of simple moving averages and RSI levels.
*** You can select the trend direction: "Long Only" , "Short Only" or "Both". Default is "Long Only".
FXFUNDINGMATE TREND INDICATORA simple trend continuation strategy based on Ichimoku, moving average, Stochastic and MACD
VWMA with kNN Machine Learning: MFI/ADXThis is an experimental strategy that uses a Volume-weighted MA (VWMA) crossing together with Machine Learning kNN filter that uses ADX and MFI to predict, whether the signal is useful. k-nearest neighbours (kNN) is one of the simplest Machine Learning classification algorithms: it puts input parameters in a multidimensional space, and then when a new set of parameters are given, it makes a prediction based on plurality vote of its k neighbours.
Money Flow Index (MFI) is an oscillator similar to RSI, but with volume taken into account. Average Directional Index (ADX) is an indicator of trend strength. By putting them together on two-dimensional space and checking, whether nearby values have indicated a strong uptrend or downtrend, we hope to filter out bad signals from the MA crossing strategy.
This is an experiment, so any feedback would be appreciated. It was tested on BTC/USDT pair on 5 minute timeframe. I am planning to expand this strategy in the future to include more moving averages and filters.
5MA_X_LThis is a 5 day moving average crossing long strategy in 10 min. chart, used in short term momentum trading strategy.
Momentum trading Strategy: When S&P 500 index is at up trend (or above 60 sma ), buy 10+ stocks in top 20% stock RS ranking at equal weight using this MA5X_L strategy. Change stocks when any stock exited by algorithm.
Back test start since 2020/7/1, each long entry for condition 1 is $30000, condition 2 is $20000, with max of 2 long positions.
Setup: 10 minutes chart
Buy condition 1) 3 wma cross up 195 wma (5day) 2) 3wma > 78wma > 195wma UP Trend Arrangement (UTA)
Exit condition 1) 3 wma cross under 195 wma 2) position profit > 20% and 3 wma cross under 6 ATRs line (green)
PMax on Rsi w/T3 *Strategy*Profit Maximizer Indicator on RSI with Tillson T3 Moving Average:
PMax uses ATR calculation inside, for this reason users couldn't manage to use PMax on RSI because RSI indicator doesn't have High and Low values in bars, but ATR needs that values. So I personally calculate RSI in a different way to have High and Low values of RSI wrt price bars.
IMPORTANT:
Because of the sudden movements and divergences on RSI , this indicator must firstly optimized for the charts before using. Optimization can be held by users for the meaningful parameters for each chart.
3 parameters are critical when optimizing:
First: Multiplier
Second: Tillson T3 Length
Third: T3 Volume Factor
Says, Kıvanç Özbilgiç. Here's the strategy version for you to backtest & optimize properly.
Enjoy.
Swing High Low Price Channel V.1You should buy/sell small order at small plot zone or after small plot. And, Buy/sell big order at big plot zone or after big plot.
Recommended, You should use this with Fibonacci Retracement, Price Action or Graph Pattern.
Newton theory (Bollinger Band Breakout)Initial capital 1000 USD
Order size 10%
Commission 0.3% with slippage
Timeframe 4h
This is Simple Bollinger Band Trend find out strategy.
I'm using the usual trailing offset as an exit for this strategy.
using 1x leverage to go long short within 3years backtest result more then 200% for all usd pair.
in next version i will try to find out more optimize sma,std,sl,tp parameter by using freqtrade hyperparameter optimization.
Happy Trading :)
3 EMA + Stochastic RSI + ATR 3ESRA
v0.2a
Coded by Vaida Bogdan
3ESRA consists of a 3 EMA cross + a close above (for longs) the quickest EMA
or below (for shorts). Note that I've deactivated the RSI Cross Over/Under
(you can modify the code and activate it). The strategy also uses a stop loss
that's at 1 ATR distance from the entry price and a take profit that's at
4 times the ATR distance from the entry price.
Chandelier + BB + EMASIn this strategy I am using the Emas and bollinger bands' width to determine the entry conditions:
Objetive of emas: Determine the current market trend
BB: Avoid low volatility market periods
Chandelier: Exit trades
Long Condition:
Once the fast moving average turns above the slow ma is first signal
Entry into the trade if the width crosses above the threshold set up by the user
Short condition: Exact opposite to long condition
Current idea is using an suppose capital of 1000 USD and paying commissions of 0.2%.
Educational purposes only at the time.
