Bollinger Band and Moving Average v0.1 by JustUncleLThis is another Bollinger Band strategy+indicator in my series of Bollinger based setups. This one is seems to work best with 5min charts and 20 to 30min expiry. The strategy follows variation of a Bollinger band + Moving Averages
reversal strategy, it uses the 2 moving averages mainly to determine market direction.
Strategy!
Bollinger Band and ADX Retrace Alert v0.1 by JustUncleLThis script is an implementation of a well known Bollinger band + ADX retracement strategy for 1min to 15min charts. This variation uses my own settings, a market direction filter and has an alert that can be added to your trading alarms.
[RS]Function Account Margin Call Functions V0some simple functions to handle account margin call / trailling stop for account.
Golden Cross, SMA 200 Moving Average Strategy (by ChartArt)This famous moving average strategy is very easy to follow to decide when to buy (go long) and when to take profit.
The strategy goes long when the faster SMA 50 (the simple moving average of the last 50 bars) crosses above the slower SMA 200. Orders are closed when the SMA 50 crosses below the SMA 200. This simple strategy does not have any other stop loss or take profit money management logic. The strategy does not short and goes long only!
Here is an article explaining the "golden cross" strategy in more detail:
www.stockopedia.com
On the S&P 500 index (symbol "SPX") this strategy worked on the daily chart 81% since price data is available since 1982. And on the DOW Jones Industrial Average (symbol "DOWI") this strategy worked on the daily chart 55% since price data is available since 1916. The low number of trades is in both cases not statistically significant though.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the 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 subject to the fact that they are 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.
K.M Trend Strategy (BETA 1.2)My beautiful traders, how is everyone doing? This indicator I built detects trends, I haven't seen any repaints, I only had 3 minor ones. It is still on BETA version.
To all new traders, and busy traders I will be posting one that you can set alerts. Please look under my profile or type " K.M Trend Alerts (BETA 1.2) " .
I ask for everyone to try this script out, please provide any feedback under in the comments below. Any feedback will be amazing! Thank you to everyone, and www.tradingview.com.
Sincerely,
Kevin Manrrique
Follow us on Instagram: TWTForexGroup, we have amazing content and also sell signals!
Buy Tuesday Strategy (by ChartArt)This strategy is as simple as possible: Every Tuesday a new long trade is opened, when Monday (yesterday) closed higher than it opened the week. The strategy closes all orders when the next close is larger than the open.
This strategy does not have any other stop loss or take profit money management logic and is therefore VERY risky, because it always waits to close all orders until the close is larger than the open. I recommend to mainly use it to find stocks or assets which are trending higher and are following this very basic trading idea.
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P.S. The code of the strategy does not work on digital assets like Bitcoin, Litecoin or Ethereum, which are traded every day including Saturday and Sunday, because the code checks if Monday was preceded by a Friday (and not by a Sunday and Saturday).
[RS]Function Martingale Multiplier - MA Crossover Bias V1EXPERIMENTAL:
WARNING: Martingale is subject to HUGE drawdown spikes, use at your own risk!
updated function to also double(aply multiplier) on even trades, example with a MA's crossover.
[RS]Function Martingale Multiplier V0EXPERIMENTAL:
WARNING:Martingale is susceptible to huge drawdown spikes, use at your own risk.
simple functions for martingale wins and losses, multiplier can be adjusted manually to increase/decrease performance/drawdown.
Candle patterns below/above MABuy or sell candle patterns below or above MA
EMA_for_1D-EMA to use for 1D chart
Period_- highest/lowest days to put SL
Mercurius.a.m
Mercurius.a.m@gmail.com
Strategy Code Example 2 - Time Limiting*** THIS IS JUST AN EXAMPLE OF STRATEGY TIME LIMITING CODE IMPLEMENTATION ***
This is a follow up to my example for risk management implementation here:
Code remains mostly unchanged, but now includes a time limiting implementation.
Relevant code blocks for the time factor are preceded with a comment stating:
*** FOCUS OF EXAMPLE ***
Cheers!
Strategy Code Example - Risk Management*** THIS IS JUST AN EXAMPLE OF STRATEGY RISK MANAGEMENT CODE IMPLEMENTATION ***
For my own future reference, and for anyone else who needs it.
Pine script strategy code can be confusing and awkward, so I finally sat down and had a little think about it and put something together that actually works (i think...)
Code is commented where I felt might be necessary (pretty much everything..) and covers:
Take Profit
Stop Loss
Trailing Stop
Trailing Stop Offset
...and details how to handle the input values for these in a way that allows them to be disabled if set to 0, without breaking the strategy.exit functionality or requiring a silly amount of statement nesting.
Also shows how to use functions (or variables/series) to execute trade entries and exits.
Cheers!
EMA Intraday StrategyHere is a EMA intraday strategy. very profitable on the GBPAUD 1M charts if you are watching very closely, working on coding a indicator for it
Fractal Breakout Strategy (by ChartArt)This long only strategy determines the price of the last fractal top and enters a trade when the price breaks above the last fractal top. The strategy also calculates the average price of the last fractal tops to get the trend direction. The strategy exits the long trade, when the average of the fractal tops is falling (when the trend is lower highs as measured by fractals). And the user can manually set a time delay of this exit condition. The default setting is a long strategy exit always 3 bars after the long entry condition appeared.
In addition as gimmicks the fractals tops can be highlighted (the default is blue) and a line can be drawn based on the fractal tops.This fractal top line is colored by the fractal top average trend in combination with the fractal breakout condition.
This strategy works better on higher time-frames (weekly and monthly), but it also works on the daily and some other time-frames. This strategy does not repaint, no repainting.
P.S. I thank Tradingview user barracuda who helped me with the time based exit condition code. And user RicardoSantos for coding the definition of the fractal top, which he uses in his " Fractals" scripts.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the 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 subject to the fact that they are 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.
Chinkou_ProWelcome traders,
I have made this script wishing a higher gain,
Originally, this strategy is taken from Ichimoku Kinko Hyo
Simply:
ChinkouPro crossing with price is giving a clear opportunity.
Review it, master it, work it.
first version
change log
Delete function of lazy trader { smooth candle }
Delete function of alert , { make alert from chart it's better }
Enjoy with it , and contact me for any reason :)
Simple Moving Average StrategyThis is a modification of MOVINGAVG CROSS with different inputs of bar lengths that work with a great average percentage with not much drawdown. I ran the strategy tester with GBPUSD on 1 hour time frame.
$EURUSD 1 Minute Chart StrategyYou must be using the renko chart with traditional settings with the block size set at .0001. This can be done by going to settings. Style at the bottom should be changed from ATR to traditional. The set the block size as .0001.
MA Cross - ***Programmers*** Please help with alertcondition() Hello Traders and coders,
Here is a fundamental version of a moving average cross trading strategy that works on 1H and 4H timeframes.
It's very simple and would be well paired with proper technical analysis and risk management.
I am looking to use this to alert me of potential setups. I could not get the alertcondition function to work properly. If anyone can help me with that please comment or message me.
Daily Close Comparison Strategy (by ChartArt via sirolf2009)Comparing daily close prices as a strategy.
This strategy is equal to the very popular "ANN Strategy" coded by sirolf2009(1) which calculates the percentage difference of the daily close price, but this bar-bone version works completely without his Artificial Neural Network (ANN) part.
Main difference besides stripping out the ANN is that my version uses close prices instead of OHLC4 prices, because they perform better in backtesting. And the default threshold is set to 0 to keep it simple instead of 0.0014 with a larger step value of 0.001 instead of 0.0001. Just like the ANN strategy this strategy goes long if the close of the current day is larger than the close price of the last day. If the inverse logic is true, the strategy goes short (last close larger current close). (2)
This basic strategy does not have any stop loss or take profit money management logic. And I repeat, the credit for the fundamental code idea goes to sirolf2009.
(2) Because the multi-time-frame close of the current day is future data, meaning not available in live-trading (also described as repainting), is the reason why this strategy and the original "ANN Strategy" coded by sirolf2009 perform so excellent in backtesting.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the 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 subject to the fact that they are 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.
(1) You can get the original code by sirolf2009 including the ANN as indicator here:
(1) and this is sirolf2009's very popular strategy version of his ANN:
[STRATEGY][RS]DemaRSI V0EXPERIMENTAL:
Double EMA RSI Strategy.
Optional:
N max orders per day, %equity trade size, Time session constraints, TP, SL, Trailing.
MACD + Stochastic, Double Strategy (by ChartArt)This strategy combines the classic stochastic strategy to buy when the stochastic is oversold with a classic MACD strategy to buy when the MACD histogram value goes above the zero line. Only difference to the classic stochastic is a default setting of 71 for overbought (classic setting 80) and 29 for oversold (classic setting 20).
Therefore this strategy goes long if the MACD histogram goes above zero and the stochastic indicator detects a oversold condition (value below 29). If the inverse logic is true, the strategy goes short (stochastic overbought condition with a value above 71 and the MACD histogram falling below the zero line value).
Please be aware that this pure double strategy using simply two classic indicators does not have any stop loss or take profit money management logic.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the 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 subject to the fact that they are 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.
[STRATEGY][RS]Roulette Martingale V0a solid strategy all across the majors.
double the profits :p
WARNING: use at your own discretion.
Bollinger + RSI, Double Strategy (by ChartArt) v1.1This strategy uses the RSI indicator together with the Bollinger Bands to sell when the price is above the upper Bollinger Band (and to buy when this value is below the lower band). This simple strategy only triggers when both the RSI and the Bollinger Band indicators are at the same time in a overbought or oversold condition.
UPDATE
In this updated version 1.1 the strategy was both simplified for the user (less inputs) and made more successful in backtesting by now using a 200 period for the SMA which is the basis for the Bollinger Band. I also reduced the number of color alerts to show fewer, but more relevant trading opportunities.
And just like the first version this strategy does not use close prices from higher-time frame and should not repaint after the current candle has closed. It might repaint like every Tradingview indicator while the current candle hasn't closed.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the 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 subject to the fact that they are 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.
P.S. For advanced users if you want access to more functions of this strategy script, then please use version 1.0:
