Combo 2/20 EMA & Adaptive Price Zone This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The adaptive price zone (APZ) is a volatility-based technical indicator that helps investors
identify possible market turning points, which can be especially useful in a sideways-moving
market. It was created by technical analyst Lee Leibfarth in the article “Identify the
Turning Point: Trading With An Adaptive Price Zone,” which appeared in the September 2006 issue
of the journal Technical Analysis of Stocks and Commodities.
This indicator attempts to signal significant price movements by using a set of bands based on
short-term, double-smoothed exponential moving averages that lag only slightly behind price changes.
It can help short-term investors and day traders profit in volatile markets by signaling price
reversal points, which can indicate potentially lucrative times to buy or sell. The APZ can be
implemented as part of an automated trading system and can be applied to the charts of all tradeable assets.
WARNING:
- For purpose educate only
- This script to change bars colors.
Cari skrip untuk "backtesting"
Heikin Ashi EMA v5 no repaint This script was inspired by the "Heikin/Kaufman Strategy" from marco valente built on v2.
The script was rebuilt on the v5 and most importantly removed the repaint function that was driving surrealistic backtesting inflated numbers.
This script is now fully functional and not repainting - At the time of testing worked efficiently 90% WR and 2x profit factor on CFD WTI OIL with a 15m time frame indexed on forex.com price.
You should utilize this script with caution, especially on high volatility cycles you can try plotting against a volatility relative index or stop.
I also strongly recommend understanding the fundamentals of WTI OIL to balance the indications of the strategy with fundamentals.
Thanks to Clovis Warlop and Nilesh Sharma for their contribution.
Cheers,
Gustavo Bramao
BTC Cap Dominance RSI StrategyThis strategy is based on the BTC Cap Dominance RSI indicator, which is a combination of the RSI of Bitcoin Market Cap and the RSI of Bitcoin Dominance. The concept of this strategy is to get a good grasp of the bitcoin market flow by combining bitcoin dominance as well as bitcoin market cap.
BTC Cap Dominance (BCD) RSI is defined as:
BCD RSI = (BTC Cap RSI + BTC Dominance RSI) / 2
Case 1 (Bull market):
Both Cap RSI and Dominance RSI values are high
Case 2 (Neutral market):
Cap RSI is high but Dominance RSI is low
Cap RSI is low but Dominance RSI is high
Case 3 (Bear market):
Both Cap RSI and Dominance RSI values are low
When the BCD RSI value closes the candle above the Bull level, it triggers a long signal and when the value closes below the Bear level, it triggers a short signal.
(Note) Please note that TradingView's market cap symbols (CRYPTOCAP:TOTAL and CRYPTOCAP:TOTAL2) started in January 2020, so strategy backtesting is possible from this point on.
(Note) Since the real-time BCD RSI value does not come out with this strategy, it is recommended to use it together because the current value can be known and the long-short signal can be predicted in advance by using a separate BCD RSI Index together.
If "Use Combination of dominance RSI ?" is not checked in addition to the recommended default value of the strategy, the recommended values are Length (14), Bull level (74), Bear level (25).
_______________________________________________________________________
이 전략은 비트코인 시가총액의 RSI와 비트코인 도미넌스 RSI를 조합하여 만든 BTC Cap Dominance RSI 지표를 기반으로 만들어졌습니다. 이 전략의 컨셉은 비트코인 시가총액뿐만 아니라 비트코인 도미넌스를 조합함으로써 비트코인 시장 흐름을 잘 파악할 수 있도록 하는 것입니다.
BTC Cap Dominance (BCD) RSI는 다음과 같이 정의하였습니다.
BCD RSI = (BTC Cap RSI + BTC Dominance RSI) / 2
Case 1 (강세 장):
Cap RSI와 Dominance RSI 값 모두 높은 경우
Case 2 (횡보 장):
Cap RSI는 높지만 Dominance RSI는 낮은 경우
Cap RSI는 낮지만 Dominance RSI는 높은 경우
Case 3 (약세 장):
Cap RSI와 Dominance RSI 값 모두 낮은 경우
BCD RSI 값이 Bull level 위에서 캔들 마감할 경우 long 신호를 트리거하고 Bear level 아래에서 캔들 마감할 경우 short 신호를 트리거합니다.
(주의) 트레이딩뷰의 시가총액 심볼들 (CRYPTOCAP:TOTAL과 CRYPTOCAP:TOTAL2)이 2020년 1월부터 시작하였으므로 이 시점부터 전략 백테스팅이 가능한 점을 유의하십시오.
(주의) 이 전략은 실시간 BCD RSI 값이 나오지 않기 때문에 별도의 BCD RSI Index를 함께 사용하면 현재 값을 알 수 있어 롱숏 신호를 사전에 예측할 수 있으므로 함께 사용하기를 권장합니다.
전략의 추천 기본값 외에 "Use Combination of dominance RSI ?"를 체크하지 않는 경우 권장하는 값은 Length (14), Bull level (74), Bear level (25) 입니다.
Acrypto - Weighted StrategyHello traders!
I have been developing a fully customizable algo over the last year. The algorithm is based on a set of different strategies, each with its own weight (weighted strategy). The set of strategies that I currently use are 5:
MACD
Stochastic RSI
RSI
Supertrend
MA crossover
Moreover, the algo includes STOP losses criteria and a taking profit strategy. The algo must be optimized for the desired asset to achieves its full potential. The 1H and 4H dataframe give good results. The algo has been tested for several asset (same dataframe, different optimization values).
Important note:
Backtest the algorithm with different data stamps to avoid overfitting results
Best,
Alberto
Hourly Bias on BTC in Bullish USA Session “Green Eagle”Name: Hourly Bias on BTC in Bullish USA Session
Category: Hourly Bias
Operating mode: Spot, only long
Trades duration: Intraday, 11 bars
Timeframe: 1H
Suggested usage: When the market is compressed, USA session has a bullish bias.
Entry: enter Long at 15:00 on specific days of the week. There is a volatility filter based on ATR which identifies compression.
Exit: exit at a pre-defined time at 01:00
Usage:
⁃ It can be useful to use alerts or webhooks to automate this strategy.
⁃ This is a core system that can be improved in different ways (e.g. Stop-loss, take-profit, position sizing) or studying more the behaviour in the specific days of the week or short when is red.
Configuration:
- N/A
Backtesting
⁃ Exchange: BINANCE
⁃ Pair: BTCUSDT
⁃ Timeframe: 1H
⁃ Fee 0.075%
⁃ Slippage 2
- Start : 2019-01-06
We decided to release this free BTC strategy.
How you or we can improve? Source code is open so share your ideas!
AVG Stochastic Strategy [M30 Backtesting]1. AVG Stochastic Calculate
1.1 AVG %K is calculated by apply EMA with smooth K period on Average of Original Stochastic %k & %d
+ avg_k=ema((%k+%d)/2,smoothK)
1.2 AVG %D is calculated by apply EMA with %d period on AVG %K
+ avg_d=ema(avg_k,periodD)
2. Parameter
+ %K Length: 21
+ %K Smoothing: 3
+ %D Smoothing: 3
+ Symbol: BTC/USDT
+ Timeframe: M30
+ Pyramiding: Maximum 3 orders at the same direction.
3. Signal
3.1 Buy Signal
+ Entry: AVG %K crossover AVG %D and AVG %D < 20
+ Exit: AVG %D > 80
3.2 Sell Signal
+ Entry: AVG %K crossunder AVG %D and AVG %D > 80
+ Exit: AVG %D < 20
action zone - ATR stop reverse order strategy v0.1 by 9nckACTION ZONE-ATR MOD v0.1 DOCUMENTATION
Overview
This tradingview pine script strategy is mainly created to enrich my coding skill. It is a combination of “CDC-ACTIONZONE” and my personal studies of trading techniques in various sources e.g.book, course or blog. This strategy purposefully built to connect with my automatic trading bot. However, It will be very useful to aid your trading routine by diminishing mental distraction which possibly leads to bad trades.
How does it work?
This strategy will do a basic simple thing that most traders do by creating entry signals on both sides long/short and also set the stop loss. Furthermore, It will also reverse the order (from long to short and vice versa (if long/short conditions are met). Finally, it will recalculate the stop loss/take profit price in every complete bar to increase the chance of winning and limit our loss.
Entry rules(Long/Short)
If you have no open order, an order will be created when a fast EMA crosses(up(long)/down(short) the slow EMA(It’s as simple as that).
If you have an open order, the current order will be (sold if long, covered if short) and the opposite side order will be created.
Exit and Reverse rules(Long/Short)
If fast EMA cross (DOWN(long), UP(short)), the current order will be closed, THE OPPOSITE SIDE ORDER WILL ALSO BE CREATED.
Risk management
FLEX STOP PRICE : initial value will be set at the bar which order created. It is a fast ema (+/-) MIDDLE ATR value.
If MIDDLE ATR value rises, it will be our new stop price.
If MIDDLE ATR value falls, stop price unchanged
If Price OVERBOUGHT(long)/SOLD(short), LOW of that bar will be a new stop price.
Minimum position hold period
In order to eliminate risk of repeatedly open, close orders in sideway trends. Minimum hold period must be passed to start exit our position. However, It always respects stop loss prices. The value refers to the number of bars.
MUST READ!!!
This strategy uses only MARKET ORDER. If you trade with a bot, make sure you choose only enormous market cap tokens.
This strategy is bi-direction strategy. It will work best in the DERIVATIVE market.
It was initially designed to compete in the cryptocurrency market which has very high volume and volatility.
I only use this strategy in 1HR (acceptable change rate, optimum trade frequency)
How (should) we use it?
Choose crypto future pairs (recommend only top 10-15 market volume pairs in Binance, let’s say 1000M+ trade value)
Choose your time frame (1H is strongly recommended)
Setup your portfolio profile (Setting->Properties) such as Initial cap, order size, commission. DO NOT USE CAL ON EVERY TICK IT WILL CAUSE REPAINTING AND YOUR CAPITAL IS BLEEDING !!!
BACKTEST FIRST!! Back test is a combination of art, math and statis(and a bit of luck). You can apply to train and test methods or whatever you are familiar with. In my opinion, your test period should include UPTREND, SIDEWAY, DOWNTREND. Fine tune fast, slow ema first(my best ema length of 1H timeframe around 7-10, 17-22). Try to eliminate fault breakout trade and use other options only necessary. Hopefully we can use automatic optimization on Pine Script soon.
Don’t forget to turn off using a specific backtest date option to start your strategy.A
THIS IS NOT A PERFECT (OR EVEN PROFITABLE) STRATEGY. USE AT YOUR OWN RISK AND TRADE RESPONSIBLY. DYOR DUDE.
Combo 2/20 EMA & Accelerator Oscillator (AC) This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The Accelerator Oscillator has been developed by Bill Williams
as the development of the Awesome Oscillator. It represents the
difference between the Awesome Oscillator and the 5-period moving
average, and as such it shows the speed of change of the Awesome
Oscillator, which can be useful to find trend reversals before the
Awesome Oscillator does.
WARNING:
- For purpose educate only
- This script to change bars colors.
RSI StrategyThis RSI strategy will allow you to go long when RSI is overbought and go short when RSI is oversold. You can also change the checked boxes to reverse this. Uncheck "Overbought Go Long & Oversold Go Short" and check "Overbought Go Short & Oversold Go Long" to use this reversed option.
You can also choose to use an ema filter as an additional qualifier for entry. Uncheck "No EMA Filter" and check "Use EMA Filter" if you want to use it.
Be sure to enter slippage and commission into the properties to give you realistic results.
I've also built in backtesting date ranges and the ability to trade only within certain times of day and have it close all trades at the end of that time frame. This is especially useful for day trading stocks. To specify a time from use the format 0930-1100 or whatever your trading hours will be. Check off "Enable Close Trade At End Of Time Frame" to close the trade at the end of your trading hours.
You can also specify a % based take profit and stop loss. Also keep in mind that the way this code is designed if you use the stop loss and/or take profit and it reaches either target and closes, then it will immediately re-enter if the condition for long or short entry is true.
Finally there's custom alert fields so you can send custom alert messages for strategy entry and exit for use with automated trading services. Simply enter your messages in the fields within the strategy properties and then put {{strategy.order.alert_message}} in your alert message body and it will dynamically pull in the appropriate message.
CCI StrategyThis CCI strategy will allow you to enter a long or short off a CCI zero line cross or control entries and exits from custom upper and lower band lengths. You can set a custom upper band which it will buy when it crosses up and then a custom upper band exit which it will sell when it crosses down. For a short you can set a custom lower band which it will short when it crosses down and the custom lower band exit which it will exit the short when it crosses up. Be sure to enter slippage and commission into the properties to give you realistic results.
I've also built in backtesting date ranges and the ability to trade only within certain times of day and have it close all trades at the end of that time frame. This is especially useful for day trading stocks. If you check off "Enter First Trade ASAP" then when using the time frame option it will enter the current trade. If however you uncheck that box and instead check off "Wait To Enter First Trade" it will wait for the trend to change and then enter.
You can also specify a % based take profit and stop loss. Also keep in mind that if you have "Enter First Trade ASAP" checked off and use the stop loss and/or take profit then it will re-enter the current trend again.
Finally there's custom alert fields so you can send custom alert messages for strategy entry and exit for use with automated trading services. Simply enter your messages in the fields within the strategy properties and then put {{strategy.order.alert_message}} in your alert message body and it will dynamically pull in the appropriate message.
Same high/low updateHere I made a strategy out of my indicator. So, the trigger is double low/high on 1 week candle chart.
Entrance: close of the next candle if it's low/high higher/lower than previous one. (in most cases it's precise for backtesting)
Stop loss: long:low-one tick, short:high+one tick
Take profit: ATR*Multiplier (you can tune it in properties)
Combo 2/20 EMA & Absolute Price Oscillator (APO) This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The Absolute Price Oscillator displays the difference between two exponential
moving averages of a security's price and is expressed as an absolute value.
How this indicator works
APO crossing above zero is considered bullish, while crossing below zero is bearish.
A positive indicator value indicates an upward movement, while negative readings
signal a downward trend.
Divergences form when a new high or low in price is not confirmed by the Absolute Price
Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO
forms a higher low. This indicates less downward momentum that could foreshadow a bullish
reversal. A bearish divergence forms when price makes a higher high, but the APO forms a
lower high. This shows less upward momentum that could foreshadow a bearish reversal.
WARNING:
- For purpose educate only
- This script to change bars colors.
200DMA last DOM - ajhImplements and backtests a simple 200 day moving average trend following rules based on last day of month to limits trades to 12 per year.
From the book : 5 BEST Moving Average Strategies (That beat buy and hold) by Steve Burns and Holly Burns
Click on the cog to set the input date range eg; 2000-01-01 to 2016-12-31
The book back tested SP500 returns from 2000-2016 317% using this method vs 125% buy and hold only with less drawdown.
Simple 200 day moving average test and trading on last day of month.
(you may find it trades on next available day close to end of month as not all dates can be traded weekends etc..)
Rules are ;
1. if last day of month and stock over 200 day moving average, then go long 100%
2. if last day of month and stock under 200 day moving average, then close long 100% and goto cash.
Aims to miss market declines and keep you long for upside.
Note: Have found doesn't work well in choppy markets moving sideways like the FTSE100 for same period 2000-2016 and causes losses. Also for many stocks.
ETF 3-Day Reversion StrategyIntroduction: This strategy is a modification of the “3-day Mean Reversion Strategy” from the book "High Probability ETF Trading" by Larry Connors and Cesar Alvarez. In the book, the authors discuss a high-probability ETF mean reversion strategy for a 1-day time-frame with these simple rules:
The price must be above the 200 day SMA and below the 5 day SMA.
The low of today must be lower than the low of yesterday (must be true for 3 consecutive days)
The high of today must be lower than the high of yesterday (must be true for 3 consecutive days)
If the 3 rules above are true, then buy on the close of the current day.
Exit when the closing price crosses above the 5 day SMA.
In practice and in backtesting, I’ve found that the strategy consistently works better when using an EMA for the trend-line instead of an SMA. So, this script uses an EMA for the trend-line. I’ve also made the length of the exit EMA adjustable.
How it works:
The Strategy will buy when the buy conditions above are true. The strategy will sell when the closing price crosses over the Exit Moving Average
Plots:
Green line = Exit Moving Average (Default 5 Day EMA)
Blue line = 5 Day EMA (Used as Entry Criteria)
Disclaimer: Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Supertrend StrategyThis Supertrend strategy will allow you to enter a long or short from a supertrend trend change. Both ATR period and ATR multiplier are adjustable. If you check off "Change ATR Calculation Method" it will base the calculation off the sma and give you slightly different results, which may work better depending on the asset. Be sure to enter slippage and commission into the properties to give you realistic results.
I've also built in backtesting date ranges and the ability to trade only within certain times of day and have it close all trades at the end of that time frame. This is especially useful for day trading stocks. If you check off "Enter First Trade ASAP" then when using the time frame option it will enter the current trade. If however you uncheck that box and instead check off "Wait To Enter First Trade" it will wait for the trend to change and then enter.
You can also specify a % based take profit and stop loss. In most cases the stop loss is not needed because of the atr based stop that supertrend provides so you could check only take profit and see if it works best to take profit or to let supertrend trend change get you out. Also keep in mind that if you have "Enter First Trade ASAP" checked off and use the stop loss and/or take profit then it will re-enter the current trend again.
Finally there's custom alert fields so you can send custom alert messages for strategy entry and exit for use with automated trading services. Simply enter your messages in the fields within the strategy properties and then put {{strategy.order.alert_message}} in your alert message body and it will dynamically pull in the appropriate message.
Combo 2/20 EMA & 3 Day Pattern This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
This startegy based on 3-day pattern reversal described in "Are Three-Bar
Patterns Reliable For Stocks" article by Thomas Bulkowski, presented in
January,2000 issue of Stocks&Commodities magazine.
That pattern conforms to the following rules:
- It uses daily prices, not intraday or weekly prices;
- The middle day of the three-day pattern has the lowest low of the three days, with no ties allowed;
- The last day must have a close above the prior day's high, with no ties allowed;
- Each day must have a nonzero trading range.
WARNING:
- For purpose educate only
- This script to change bars colors.
Zendog V3 backtest DCA bot 3commasMAJOR UPDATE:
- Update to Pinescript v5
- MAJOR refactor for the logic of how orders are placed. BO order is placed when the condition is first encountered and we are not in a deal.
The extra SO orders (if based on price movement) are all placed on the next candle after BO order, instead of each being placed one after another.
Take profit (if percentage) and Stop loss are placed on the first candle after BO order because if BO and TP are on the same candle TV does not execute properly.
These changes should improve strategy accuracy when multiple prices are hit by the same candle.
- NEW FEATURE: Support to Stop deal using an external indicator (i.e. stop long deal when RSI > 80)
- NEW FEATURE: Support to trigger Safety orders using an external indicator (i.e. trigger each additional SO when RSI < 10, regardless of price movement)
The price movement logic may be implemented in the indicator that plots start / end signals. The SO size is calculated using the configuration of steps.
- NEW FEATURE: Safety order command for 3commas bot. This is implemented using Add funds in the quote currency (for pair BTCUSDT the quote currency is USDT)
The SO size is calculated using the configuration of steps, for exact order size (and price) use the built-in Steps table.
- NEW FEATURE: Addition of extra columns to the steps table: Required price for TP, Required % change for TP, Required % change for BEP (Breakeven point)
- Update to steps table to remove prices when Safety orders are not based on % price change
- The code is opensource. I will not be able to sustain merges for the script, but feel free to use and develop your own version and ping me on discord to review them
and maybe include in the original script
RSI %b Signal [H1 Backtesting]-----------------------------------------------------------------
This simple strategy base on RSI, EMA, Bollinger Bands to get Buy and Sell Signal with detail as below:
-----------------------------------------------------------------
1.Define Oscillator Line
+ Oscillator Line is smoothed by ema(28) of RSI(14) on H1 Timeframe
2.Define Overbought and Oversold
+ Apply Bollinger Bands BB(80,3) on Oscillator Line and calculate %b
+ Overbought Zone marked above level 0.8
+ Oversold Zone marked below level 0.2
3.Buy Signal
+ Entry Long Position when %b crossover Point of Entry Long
+ Deafault Point of Entry Long is 0.2
+ Buy signal marked by Green dot
4.Sell Signal
+ Entry Short Position when %b crossunder Point of Entry Short
+ Deafault Point of Entry Short is 0.8
+ Sell signal marked by Red dot
5.Exit Signal
+ Exit Position (both Long and Short) when %b go into Overbought Zone or Oversold Zone
+ Exit signal marked by Yellow dot
-----------------------------------------------------------------
MA MTF Cross StrategyStrategy Introduction
This multi-timeframe strategy generates buy and sell entries based on two Moving Averages’ cross with an option to turn on trend direction confirmation through 3rd Moving Average selection. While all three moving averages can be selected from the following list:
SMA
EMA
DEMA
TEMA
LRC
WMA
MF
VAMA
TMA
HMA
JMA
Kijun v2
EDSMA
McGinley
Only long trades are enabled currently
Default Settings
I've set the default selection to the perfect options for 1D timeframe. You can modify all MAs selections and their lengths according to your selected timeframes.
Following default settings are used:
Heiken Ashi Candles are selected by default as source
1st Moving Average selection is set to LRC (Linear Regression Curve)
Length of 1st Moving Average is set to 50
2nd Moving Average is set to EDSMA (Ehlers Deviation-Scaled Moving Average)
Length of 2nd Moving Average is set to 30
3rd Moving Average is set to HMA (Hull Moving Average)
Length of 3rd Moving Average is set to 200
Uptrend direction confirmation through 3rd Moving Average is set to false by default
Start date is set to start from 2013
Backtesting can also be done selecting %age of equity
Suggestions for Usage
Mostly winning trades by set defaults have no prominent drawdown so losing trades can be abolished with Stoploss. Would soon add Stoploss and Takeprofit options in next version. Also, if you want an alerts version of it then just comment below and would publish it later. I’ve found this strategy useful on 1D timeframe with described default settings but multiple Mas selections can be explored further.
MZ SRSI Strategy V1.0Strategy Introduction
This strategy starts from selection of 1st Moving Average from one of following:
SMA
EMA
DEMA
TEMA
LRC
WMA
MF
VAMA
TMA
HMA
JMA
Kijun v2
EDSMA
McGinley
Then it calculates the RSI of selected 1st Moving Average
In the end it calculates Moving Average of previously calculated RSI and for this purpose 2nd Moving Average is also selected from above list.
Cross of RSI and its Moving Average generates Strategy Alerts
Only long trades are enabled currently
Default Settings
I've set the default selection to the perfect options for 1D and 4h timeframes. You can modify both MAs selection and their length according to your selected timeframe.
Following default settings are used:
Heiken Ashi Candles are selected by default as source
1st Moving Average selection is set to LRC (Linear Regression Curve)
Length of 1st Moving Average is set to 50
RSI length is set to 2 because it is supposed to be fast
2nd Moving Average of RSI is set to TMA (Triangular Moving Average)
Length of 1st Moving Average is set to 5
Start date is set to 2011
Backtesting can also be done selecting %age of equity
Suggestions for Usage
Mostly winning trades have no prominent drawdown so losing trades can be abolished with Stoploss. Would soon add Stoploss, MTF and Takeprofit options in next version. Also if you want an alerts version of it then just comment below and would publish it later. I’ve found this strategy useful on 1D and 4h timeframes with described default settings.
Combo Backtest 123 Reversal & TEMA1This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This study plots the TEMA1 indicator. TEMA1 ia s triple MA (Moving Average),
and is calculated as 3*MA - (3*MA(MA)) + (MA(MA(MA)))
WARNING:
- For purpose educate only
- This script to change bars colors.
LPB MicroCycles StrategyWhat it is:
We use the Hodrick-Prescott filter applied to the closing price, and then take the outputted trendline and apply a custom vwap, the time frame of which is based on user input, not the default 1 day vwap . Then we go long if the value 2 bars ago is greater then one bar ago. We sell and color the bars and lines when the if the value of 2 bars ago is less than one bar ago.
Also included:
GUI for backtesting
ATR Based Stop Loss
How to use:
Go long when the indicators suggest it, and use the stop losses to reduce risk.
Best if paired with a volatility measurement (inside candles, average true range , bollingerband%B)
PSAR + EMA/TEMA/RSI/OBVThe Parabolic Stop-and-Reservse (PSAR) is a trend indicator, intended to capture reversal signals and show entry and exit points. The PSAR is bullish when the PSAR is below the candle body (usually indicated by a dot) and bearish when the PSAR is above the candle body. The PSAR generally only moves in the direction of the trend, making it useful for markets with an upward or downward trend, as well as swing markets. It is weaker when the market it sideways, as it can be prone to frequent flips (bull-to-bear or vice versa) in markets where a predominant trend is not present.
In order to combat the tendency for rapid swings in the PSAR, it is commonly paired with a second indicator. Often, this is a moving average (MA) to confirm the PSAR signal. Here is a common example:
PSAR + 2 EMAs: A trade would consider entering long when the PSAR is bullish and the fast EMA is above the short EMA.
PSAR + 3 EMAs: As above, but the trader could also add a very long EMA (200, for example) and use that as an additional filter.
In addition to using EMA, other MAs can be used and may be more appropriate to certain instruments and timeframes. Using TEMA, for example, may result in less lag but introduce more noise. Likewise, the Ehler's MAMA is an option.
Some traders use other indicators as PSAR confirmation signals, such as the relative strength index (RSI) on on-balance volume (OBV). The strategy is similar:
bullish PSAR + RSI oversold = consider long entry
bullish PSAR + OBV oscillator > 0 = consider long entry
The strategy presented here is based on my PSAR + EMA + TEMA study. Any of the above strategies are supported by this script:
1. The PSAR is the primary signal.
2. Confirmation is provided by any of the following: EMA , TEMA , Ehler's MAMA , RSI , or OBV.
3. You may use a third EMA (set to 200 as the default) to filter entries -- if used, the strategy will only show signals if the price is above the third (additional) EMA .
For example, a normal long signal would be a bullish PSAR + fast EMA > slow EMA + price > ema 200.
In addition, you may use a SL, which is set to the PSAR dots shown. You may also limit the backtesting dates. (Please note in the chart above, I do not have a limit on the trading dates. I believe this exaggerates the success of the strategy, but the house rules demand I not limit the timeframe to show you a more accurate picture.)
