VWAP and RSI strategyThis strategy combines VWAP and RSI indicators
BUY RULE
1. EMA50 > EMA 200
2. if current close > vwap session value and close>open
3. check if RSI3 is dipped below 10 for any of last 10 candles (as defined rsi_buy_level)
EXIT RULE
1. RSI3 crossing down 90 level (as defined in rsi_sell_level)
STOP LOSS EXIT
1. default is set to 5%
you need to add EMA 50 , EMA 200 and VWAP (session) indicators to the chart to see how these signals are generated
This strategy is tested on SPY and QQQ index stocks on hourly chart.
Warning
for educational purposes only
Volume
VFI strategy [based on VFI indicator published by UTS]This strategy is based on VFI indicator published by UTS.
for the strategy purpose , I have added buy line and sell line to the indicator and tested SPY stock/index on one hour chart
BUY RULE
==========
1. EMA 50 is above EMA 200
2. vfi line is pulled down and crossing above -4
EXIT RULE
==========
1. when vfi line crossing down 5
STOP LOSS
=========
1. default stop loss is set to 5%
ALL the above values (Buy Line , Sell line and Stop Loss ) can be modified in settings window
Notes :
more details of VFI indicator can be found at mkatsanos.com and precisiontradingsystems.com
Warning:
for educational purposes only
Volume Weighted Bollinger Bands Strategy
Simple strategy,
Using Volume weighted Bollinger Bands
> Directions for Usage:
1. Use only in scripts where volume is specified by tradingview
2. Check on which timeframe the script has a profit factor greater than 1.4
3. Use that timeframe for profitability
4. In some high liquid securities there is a decent profit factor even at 5 min scale (optimise at your end!! all i want to say)
Enjoy!
Hope this helps!!
CCU MFI + RSI + STOCH RSIThis demonstrates the accuracy of entry signal of the MFI + RSI + STOCH RSI strategy
Nifty Volume profile + VWAP + EMA The script picks up nifty stocks with their current respective weights and plots a Volume Weighted Average Price line along with 2 EMAs and an alert when the EMAs cross over.
You can customize the script for EMA lengths and to remove alert. Basic utility of the script is to analyse volumes driving the Nifty 50 index.
Credits to @daytraderph and his script (Custom Volume) who's code I used to build this script. Also thanks to my friend @Varun who helped me code it.
cATRpillar Strategy**This is my first strategy on the Pine editor, any tips or tricks from the community would be awesome!
This strategy was developed from my indicator "cATRpillar". it uses the ATR range values to determine entry, and uses EMA values to determine an exit if the market goes against it.
Ranged Volume Strategy - evoThis is the strategy version for the ranged volume indicator I published a few days ago.
Long : First yellow break-out after red
Short : First red break-out after yellow
Because this is volume, you want to be using this on an exchange with high volume for the best results. Default settings are not optimized but work great on bitcoins daily chart.
A short explanation of the indicator below:
Simple Momentum Strategy Based on SMA, EMA and VolumeA simple, non short selling (long positions only, i.e. buy low and sell high) strategy. Strategy makes use of simple SMA, EMA and Volume indicators to attempt to enter the market at the most optimum time (i.e. when momentum and price are moving upwards). Optimum time is defined mainly by picking best timing for price moves higher based on upwards momentum.
This script is targeted / meant for an average/typical trader or investor. This is why a non short selling approach was selected for optimisation for this strategy because "typpical", "average" traders and investors usually use basic (i.e. minimum fees / free membership) exchanges that would not usually offer short selling functionality (at least without additional fees). The assumption used here is that only advanced and sophisticated traders and investors would pay for advanced trading platforms that enable short selling, have a risk appetite for short selling and thus use short selling as a strategy.
The results of the strategy are:
In an overall roughly bearish market (backward testing from beginning to end of 2018) i.e. the market immediately following the highs of around 20k USD per BTC, this strategy made a loss of £3231 USD on trades of a maximum of 1 BTC per long position.
But in an overall bullish market, it makes a profit of about $6800 USD from beginning of 2019 onwards by trading a maximum of 1 BTC per long position.
NOTE: All trading involves high risk. Most strategies use past performance and behaviour as indicators of future performance and that is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations too. One limitation is that unlike an actual performance record, simulated results do not represent actual trading and since the trades have not actually been executed, the results of those trades themselves do not have any influence on actual market results, which in real life they would have had (no matter how minor). Additionally, simulated results may have under or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also, by their nature, designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Super Z strategy - Thanks to Rafael Zioni//Original script
//https://www.tradingview.com/script/wYknDlLx-super-Z/
This is a test for verifying if this interesting study works well.
The author, thanks to him!!!, advise a possible repaint because the script uses security function.
Refer to tradingview.com for more info on repainting:
www.tradingview.com
QUOTE:
We can see repainting in the following cases:
1- Strategies using calc_on_every_tick=true. A strategy with parameter calc_on_every_tick = false may also be prone to repainting, but to a lesser degree.
(this is not the case, ndr).
2- Using security for requesting data from a resolution higher than the resolution of the chart’s main symbol (i.e. do not use ion weelky chart if you set 1440 (1Day) in inputs)
NOTE: Thanks again to Rafael Zioni. If he requires to delete this strategy, I'll do immediately.
STRAT_STEMWAPHere is the update to the stem matcs strategy.
Here are the additions to the strategy.
1. VWAP tuning
2. Stop Loss adjusting fields now act more appropriate in relation to the super trend values.
3. Split out the volume checks to individual values for short and long
4. A max loss setting. This needs to be adjusted to which security and position size you are trading.
If you are using this on short time frames I suggest that you tweak your settings often.
volume low standard deviation stystemOn the basis of moving average, add moving average and standard deviation line of volume to filter the entry and exit time.
Filter entries and/or exits based on low volume
options = 1, no not enter on low volume
options = 2, exit on low volume
options = 3, both 1 and 2
For others, please refer to the code and notes。
volume high standard deviation stystemOn the basis of moving average, add moving average and standard deviation line of volume to filter the entry and exit time.
Do not enter trades on high volume and price in trend direction.
Exit on high volume and price in profitable direction.
Option 0 = No entry or exit filter
Option 1 = Entry filter only
Option 2 = Exit filter only
Option 3 = Both entry and exit filters
Coinbase_3-MIN_HFT-StrategyThis conceptual strategy trades against the short-term trend. The first position can be either long or short.
In the short-term, prices fluctuate up and down on wide spread exchanges.
And if the price moves to one side, the price tends to return to its original position momentarily.
This strategy set stop order. Stop price is calculated with upper and lower shadows.
VWAP Bands BacktestThis is a backtest for evaluating the profitability of a vwap offsets strategy over time.
I took part of the code to create the script from Noro
So there is a link for its code
Trend Following or Mean RevertingThe strategy checks nature of the instruments. It Buys if the close is greater than yesterday's high, reverse the position if the close is lower than yesterday's low and repeat the process.
1. If it is trend following then the equity curve will be in uptrend
2. If it is mean reverting then the equity curve will be downtrend
Thanks to Rayner Teo.
Hancock - Filtered Volume OBV OSC [Strategy]Trading strategy based on Donchain channel price breakouts confirmed by an optionally configurable volume filtered OBV oscillator.
Colored diamonds on charts represent signals where top side is buy side and bot side is sell side - green indicates open and red indicates close.
Pretty simple but nicely demonstrates the volume filtered OBV oscillator found here .
Happy trading
Hancock
Strategy Death To The Bear Simple strategy for the indicator "Death To The Bear".
Simple rules:
- Entry according to the selected weapons.
- Take profit 1 (TP1) in% of daily ATR (can be set, default 20%)
- Active Stop in Breakeven when I take profit in TP1.
- Take profit 2 (TP1) in% of daily ATR (can be set, default 30%)
* Pyramidization can be changed from the configuration (maximum number of tickets to average your price)
* Many do not like to pyramid, but I can assure you that with good management, and good choice of the instrument and time frame, you will get good money.
Note: at the request of some people who cannot see the EMOJI in the configuration you can choose TEXT.
Thumbs up
BitMEX pump catcher - MACDThis is a modified version of the BitMEX pump catcher by Jomy .
I have tweaked the algorithm to use the difference in MACD to get the correct direction of entries rather than using direction of candles which are not always indicative of trend direction. These changes increase net profit, profitable trades, while reducing drawdown.
Below is a copy and paste of Jomy's explanation of the algorithm.
What is going on here? This strategy is pretty simple. We start by measuring a very long chunk of volume history on BitMEX:XBTUSD 1 hour chart to find out if the current volume is high or low. At 1.0 the indicator is showing we are at 100% of normal historical volume . The blue line is a measure of recent volume! This indicator gets interested when the volume drops below 90% of the regular volume (0.9), and then comes back up over 90%. There's usually a pump of increased price activity during this time. When the 0.9 line is crossed by the blue line, the indicator surveys the last 2 bars of price action to figure out which way we're going, long or short. Green is long. Red is short. To exit the trade we use a 7 period fast ema of the volume crossing under an 11 ema slower period which shows declining interest in the market signifying an end to the pump or dump. The profit factor is quite high with 5x leverage, but historically we see 50% drawdown -- very risky. 1x leverage looks nice and tight with very low drawdown. Play with the inputs to see what matches your own risk profile. I would not recommend taking this into much lower timeframes as trading fees are not included in the profit calculations. Please don't get burned trading on stupid high leverage. This indicator is probably not going to work well on alts, as Bitcoin FOMO build up and behavior is different. This whole indicator is tuned to Bitcoin , and attempts to trade only the meatiest part of the market moves.
Jomy should get full credit to this indicator
High Gain Volume Strategy Only 2 Candles The result after having a good wine...
Data with reliable volume required.
to enjoy!
BitMEX pump catcherWhat is going on here? This strategy is pretty simple. We start by measuring a very long chunk of volume history on BitMEX:XBTUSD 1 hour chart to find out if the current volume is high or low. At 1.0 the indicator is showing we are at 100% of normal historical volume. The blue line is a measure of recent volume! This indicator gets interested when the volume drops below 90% of the regular volume (0.9), and then comes back up over 90%. There's usually a pump of increased price activity during this time. When the 0.9 line is crossed by the blue line, the indicator surveys the last 2 bars of price action to figure out which way we're going, long or short. Green is long. Red is short. To exit the trade we use a 7 period fast ema of the volume crossing under an 11 ema slower period which shows declining interest in the market signifying an end to the pump or dump. The profit factor is quite high with 5x leverage, but historically we see 50% drawdown -- very risky. 1x leverage looks nice and tight with very low drawdown. Play with the inputs to see what matches your own risk profile. I would not recommend taking this into much lower timeframes as trading fees are not included in the profit calculations. Please don't get burned trading on stupid high leverage. This indicator is probably not going to work well on alts, as Bitcoin FOMO build up and behavior is different. This whole indicator is tuned to Bitcoin, and attempts to trade only the meatiest part of the market moves.
Weaknesses: it can sometimes pick to trade the wrong direction if if hits support or resistance and changes direction after a trade is entered. Use a stoploss.
Strengths: It usually gets things right. Historically over 57% right.
Use at your own risk!
EVWMA VWAP Cross Strategy [QuantNomad]Continue to experiement with VWAP and EVWMA.
It seems that just simple crosses between VWAP and EVWMA can be pretty good signals. VWAP is a bit choppy so you can use VWAP smoothing input to smoth it a bit.
Here are few other strategies based on EVWMA:
EVWMA VWAP MACD Strategy
QuantNomad - EVWMA MACD Strategy
