Short In Downtrend Below MA100 (Coinrule)This is a simple strategy to take advantage of downtrends. It's useful to run such a strategy as a hedge in times of market uncertainty.
The Sell Condition - Entry
The sell signal triggers when:
the coin has MA (100) greater than the price in a timeframe of 15 minutes, meaning that the coin is in a short-term downtrend.
the coin has an RSI greater than 30 in a timeframe of 15 minutes, indicating that it didn't reach oversold conditions yet, so there is still room for a further price drop.
On Coinrule, you can launch the strategy on real market conditions, setting up multiple sequential sell orders. The strategy would keep selling while the price stays below the MA(100). In that case, it's advisable to set low amounts for the sell orders. the position will grow gradually while the downtrend intensifies. Set a minimum time interval between the sell orders will also help to have control over the overall position size.
The Buy Condition - Exit
The bot connects to each trade a stop loss and a take profit. The percentages are optimized for short term trades on mid-cap coins. You can adjust the percentages depending on the specific coin you are trading. A ratio of 1:1.5 between the stop loss and the take profit could work as the strategy trades in the same direction of the trend.
Stop loss at 3% from the entry price
Take profit at 2% from the entry price
A slightly larger stop loss allows tolerating more volatility to reduce the case of stops triggering when it shouldn't.
Осцилляторы
[astropark] DMI/ADX strategy [strategy]Dear Followers,
today I'm happy to share with you my DMI / ADX Strategy .
It provides directional trend information, so if a bullish or a bearish trend is going to start. Statistically it works better on lower timeframes (from 5 minutes to 1 hour).
It is both a Swing and Scalping Strategy indicator , based on a simple trend following theory , good for trading FOREX, Indexes, Stocks, Commodities and Cryptocurrencies.
To help in Taking Profits, the strategy integrates 2 special other than bull/bear signals:
Overbought and Oversold RSI Signals , which appear both as darker background (the darker the color, the more the price is in overbought/oversold) and green "ob"-"tp" / red "os"-"tp" labels (they optionally pop up only on a configurable stronger overbought/oversold condition) (you can enable/disable it optionally)
Peak Profit Tracker , which resets every time a new trade starts and keeps track of price fluctuation during the trade: the message is don't be too greedy and take profits or lock them with a stoploss in profit (you can enable/disable it optionally)
You can edit many options in order to
have more/less bull/bear signals
enable/disable showing bull/bear signals
enable/disable showing RSI TP signals (you can edit RSI length, overbought (OB) and oversold (OS) levels)
enable/disable showing peak profits on each trade
The user who wants to use this strategy, especially via an automated bot, must always set a stoploss (example 150$ from entry on bitcoin ) or use a proper risk management strategy .
This is not the "Holy Grail", so use it with caution. It's highly suggested to use a proper money management .
This script will let you backtest performance of the indicator based on bear/bull signals.
You can find the alarms version by searching for my DMI / ADX Strategy and choosing the "alarms" named.
Here there are some examples how this DMI / ADX strategy works on many markets:
LTC/USDT 15m
BTC/USD 15m
BNB/BTC 15m
ETH/USD 15m
GOLD (XAU/USD) 15m
GOLD (XAU/USD) 1h
FB 15m
AAPL 15m
TSLA 1h
BANKNIFTY Index 5m
NIFTY 50 Index 5m
This is a premium indicator , so send me a private message in order to get access to this script .
Swing Algo V1.3An upgrade of Swing Algo V1.2 to reduce chop heavily, used for trading ETH. For differences to other versions, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe. Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much. For other assets and/or timeframes it is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm. You don't need any programming skills or similar abilities to navigate this indicator.
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-3 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months (as witnessed in 2020), the order of magnitude of the shown results is still realistic for long-term trend trading efforts. Do not expect these results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
Within this indicator you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 2 ticks (= $0.02) and a trading fee of 0.26 % (which is the worst taker fee on the Kraken exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Keep this in mind when evaluating the backtest data. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to other versions:
- Changed from a dual (V1, V1.1) to a single smoothing function system (V1.2, V1.3), which can react better to more sudden price movements that got prevalent during the current end-phase of the stock bullmarket due to correlations, while still handling 'normal' price action well
- Changed the oscillator part of the algorithm again with one that handles chop for the ETH/USD trading pair extremely well.
- Improved net profits by potentially +100% in comparison to V1 for ETH/USD on daily timeframe
- However for other assets (e.g. BTC and smaller coins like XTZ and ALGO) and timeframes V1 might perform better than V1.3 due to somewhat different characteristic price action. I leave you with all options to play so that you can find the best solution for a given trading pair.
- There's also a previous version called Swing Algo V1.2 considered the go-to algo at the moment, which works similar to V1.3, but operates a bit less tight, leading to more flexibility while suppressing chop not as much as V1.3.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
Swing Algo V1.2The next upgrade in the 'Swing Algo V1.x' series, and the go-to algorithm for trading ETH (until further notice). For differences to other versions, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe. Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much. For other assets and/or timeframes it is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm. You don't need any programming skills or similar abilities to navigate this indicator.
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-3 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months (as witnessed in 2020), the order of magnitude of the shown results is still realistic for long-term trend trading efforts. Do not expect these results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
Within this indicator you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 2 ticks (= $0.02) and a trading fee of 0.26 % (which is the worst taker fee on the Kraken exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Keep this in mind when evaluating the backtest data. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to other versions:
- Changed from a dual (V1, V1.1) to a single smoothing function system (V1.2, V1.3), which can react better to more sudden price movements that got prevalent during the current end-phase of the stock bullmarket due to correlations, while still handling 'normal' price action well
- Changed the oscillator part of the algorithm with a better suited one (at least) for the ETH/USD trading pair, handling chop better.
- Improved net profits by potentially +100% in comparison to V1 for ETH/USD on daily timeframe
- However for other assets (e.g. BTC and smaller coins like XTZ and ALGO) and timeframes V1 might perform better than V1.2 due to somewhat different characteristic price action. I leave you with all options to play so that you can find the best solution for a given trading pair.
- There's also an upgrade called Swing Algo V1.3, which works similar to V1.2, but reduces losses due to chop even further. Because V1.2 is a bit more flexible, it is, however, considered the go-to algo for the time being.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
Ichimoku with MACD/ CMF/ TSI This is a strategy made from ichimoku cloud , together with MACD, Chaiking Money FLOW and True Strenght Index.
It can be adapted to any timeframe and any type of financial markets.
The idea behind its very simple,
We combine the long / short strategy from ichimoku, like cross between lines and below/above cloud together with histogram from MACD for positive/negative level. We use the same criteria for TSI and CMF, to check if its above or below 0 level.
Based on that we have a long or a short entry. The exit happens when the next options triggers, like for example we had long signal, we exit when we receive the short signal and viceversa.
It can be adapted with a risk management to apply a tp/sl level.
For any suggestion or details , let me know.
Bitlinc MARSI Study AST w/ Take Profit & Stop loss - beta 0.1This script is beta 0.1 - will update as soon as the script is tradable
This script is based on AST on a 10 minute timeframe. You can change the asset and the timeframe for any asset you want to trade, but for it to work correct ALL settings have to be testes in the Strategy section of the TradingView. Each assets and timeframe require a different mixture of settings. This is NOT a one settings fits all trading for all assets on any timeframe. Below are the settings and explanation on how it works.
How it fires a buy / sell:
The script will plot an RSI with upper and lower bands in a separate indicator window. The idea behind this script is to fire a LONG when MA crosses OVER lower band and fire a SHORT when the MA crosses under the lower band. Each order that fires is an OCO (Order Cancels Order) for pyramiding.
Settings:
You have full control of these settings as mentioned above, you must configure every part of this script for each asset and timeframe you trade.
- Length of MA
- Length
- Upper bands of RSI
- Lower bands of RSI
- Take profit percentage
- Stop loss percentage
- Month to start and end the strategy (within 2020)
- Day to start and end the strategy (within 2020)
- Quantity type
- Slippage
- Pyramiding
***Remember that after the signal to enter or exit a trade is fired, the alert will trigger AFTER the close of the candle that caused the tigger to fire
Combo Backtest 123 Reversal & FX Sniper: T3-CCI This 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 simple indicator gives you a lot of useful information - when to enter, when to exit
and how to reduce risks by entering a trade on a double confirmed signal.
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
WARNING:
- For purpose educate only
- This script to change bars colors.
AUDCAD - DinhChienFX Corner signal- Long signal is comfirmed when the Candle's close crossover the Keltner Channel:
- Short's signal confirms when Candle' close crossunder Lower Keltner.
- The formule Stoploss and Take profit
EMA_HMA_RSI_StrategyThis strategy BUYS when HMA is below EMA (default setting is 200) and HMA turning to green and RSI 13 is below 70
Adds to existing position when current price is below BUY price and RSI crossing above 30 or 40
Exits the long position when HMA crosses down EMA
when you select Take Profit setting , partial profits are taken when current price > BUY price and RSI 13 crossing down 80
Bar color changes to purple when RSI13 is above 80 (if only in Long position exists)
Tested for SPY QQQ AAPL on hourly and 30 mins chart
Warning : For educational purposes only
Combo Backtest 123 Reversal & Volatility Finite Volume ElementsThis 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 is another version of FVE indicator that we have posted earlier
in this forum.
This version has an important enhancement to the previous one that`s
especially useful with intraday minute charts.
Due to the volatility had not been taken into account to avoid the extra
complication in the formula, the previous formula has some drawbacks:
The main drawback is that the constant cutoff coefficient will overestimate
price changes in minute charts and underestimate corresponding changes in
weekly or monthly charts.
And now the indicator uses adaptive cutoff coefficient which will adjust to
all time frames automatically.
WARNING:
- For purpose educate only
- This script to change bars colors.
GreenCrypto Strategy
This strategy majorly uses MA, Tilson and S&R. MA is used for predicting the trend, Instead of normal cross-over of the MA, we are calculating the trend of the MA itself (whether MA is moving upward or downward by comparing the previous and current value of MA), along with MA we also use Tilson to calculate the MA.
Once we have MA and Tilson we take average and merge both MA and Tilson MA to get a double confirmation on the trend of the market. for entry and exit we use S&R with the merged MA, if the trend change is at the support or resistance level we go for LONG/SHORT respectively. Here we are doing continuous LONG+SHORT position, this provides more opportunity to capture unexpected market trend.
Enter a Long Trade when the script shows "Long" and exit either when you get "Short" signal or when it meets your target.
Parameters:
"Use 1:EST, 2:SST, 3:HST ?" : Select EMA , SMA or HullMA (works best on HullMA)
Length: Length of the EMA / SMA /HullmA
Factor: Used for calculation of Tilson and the Support and resistance .
Date/month/day : for selecting the right backtesting the period (currently it set to Jan 2018 to current day )
for this backtesting i have used 1000$ capital and 0.02% commission for each trade.
This strategy works best on 4H time fram but you can also use it on 1 day or higher timeframe charts
The default config present in this script is designed for ETH but it will also work with other coins)
Config for Specific Crypto coins (Please feel free to try out other configs also) :
ADA, BNB, EOS : "Use 1:EST, 2:SST, 3:HST ?" = 3
"Length" = 8
"Factor" = 0.9
ETC, XLM : "Use 1:EST, 2:SST, 3:HST ?" = 3
"Length" = 8
"Factor" = 0.85
Please DM me if you would like to tryout 7 Days free trail.
Bollinger Bands and RSI mix with DCAThis strategy uses a mix of Bollinger Bands and RSI to enter long positions. It impliments DCA.
MACD,RSI & EMA strategy with MA+PSAR by MAMMACD,RSI & EMA strategy with MA+PSAR
Buy strategy
- MACD above signal
- RSI above RSI signal
- Close price above EMA
Sell Strategy
- MACD below signal
- RSI below RSI signal
- Close price below EMA
Aroon Oscillator StrategyThis is simple strategy based on Aroon Oscillator. I have found that using length 144 or 169 on hourly chart shows excellent results.
Tested on SPY , QQQ and AAPL. Especially when you look at AAPL results , it has 60% profitable in recent trades. ( Dont assume this will be same for other stocks or ETFs)
Aroon Oscillator setting : 169 ( 169 is square root of 13 ... you can also use fib level 144 , which is square root of 12 )
BUY
When Aroon Oscillator crosses above zero line
Add
if Long position is already opened, and current close is less than BUY price and RSI 13 crossing above 30 line
Exit
when Aroon Oscialltor crosses below zero line
Stop Loss
default stop loss has been set to 5%
Note: I have not plotted RSI to the chart. Please include RSI 13 to see how position gets added ... Also add ema 169 to see how the price is aligned with the Aroon Oscillator
Warning
For the educational purposes only
IFR 2 Stormer RSI 2STORMER's IFR 2 strategy or if you prefer RSI 2.
It consists of a trader technique known as STORMER.
This strategy works preferentially in the daily period. But it does not prevent it from being used in other periods.
Dissecting the strategy:
Buy when 2-Period IFR smaller Oversold n periods in example 10.
And close the trade when the price reaches the maximum of the last 2 periods.
A 200 period filter is also used.
Everything can be changed IFR (RSI), Stop high n periods, sma.
A estratégia IFR 2 do STORMER ou se preferir RSI 2.
Consiste em uma técnica do trader conhecido como STORMER.
Esta estrategia funciona preferencialmente no periodo diario. Mas não impede de ser usado em outros periodos.
Dissecando a estratégia:
Comprar quando IFR de 2 Períodos menor Oversold "Sobrevendido" n períodos no exemplo 10.
E encerrar o trade quando o preço atingir a máxima dos últimos 2 periodos.
É usado também um filtro sma 200 períodos.
Tudo pode ser alterado IFR(RSI), Stop high n períodos, sma.
Pagoda of scalping, excessivetradingThis is a system I developed initially for scalping. Please be careful because trading only by this system blindly can cause total losses!
This system uses a risky technique by taking profits very fast.
It is build around moving averages and japanese candlesticks close prices cross the moving averages. The stop loss in this example is the reversal of the moving average crossing the prices.
You can feel free to play with parameters and let me know what other good stuff you did find out!
Peace!
Combo Backtest 123 Reversal & FSK (Fast and Slow Kurtosis) This 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 indicator plots the Fast & Slow Kurtosis. The Kurtosis is a market
sentiment indicator. The Kurtosis is constructed from three different parts.
The Kurtosis, the Fast Kurtosis(FK), and the Fast/Slow Kurtosis(FSK).
WARNING:
- For purpose educate only
- This script to change bars colors.
Trading RobinFull trading strategy for Stocks, Equity ETF’s, and Crypto. Not for FOREX or commodities.
Buy/Sell signals, and money management.
Low drawdown, consistent gains. Equity protection during crashes!
Long strategy for long term bullish assets. Best for Leveraged Long Equity ETF’s.
Trading Robin has also performed well on Crypto Assets such as BTCUSD, ETHUSD, and XRPUSD.
Made for daily charts, some markets perform better with 4 hour and 1 hour charts.
Always test all 3 time frames.
The main features of Trading Robin are:
Adjustable risk % per trade
Adjustable minimum % profit target per series of trades
Proprietary buy signals
Proprietary exit signals
The exact number of shares to buy per signal
The default inputs show great results on the assets listed below but they are also adjustable and may show better results if modified on certain assets so feel free to play around with them.
Some of the markets Trading Robin has been tested and performed well on are:
TQQQ
SPXL
SPX
SPY
TNA
UDOW
UPRO
UMDD
URTY
TSLA
AMZN
NFLX
ROKU
MSFT
FB
Even Crypto’s like:
BTCUSD
ETHUSD
XRPUSD
There are many more.
For access, send me a PM on TradingView.
Enjoy.
Hammer Long strategy with filtered and enforced alertsA Hammer Long strategy is a price pattern in candlestick charting that occurs when a security trades significantly lower than its opening, but rallies within the period to close near opening price. This pattern forms a hammer-shaped candlestick , in which the lower shadow is at least twice the size of the real body. The body of the candlestick represents the difference between the open and closing prices, while the shadow shows the high and low prices for the period.
Key takeaways:
Hammers have a small real body and a long lower shadow.
Hammers occur after a price decline.
The hammer candlestick shows sellers came into the market during the period but by the close the selling had been absorbed and buyers had pushed the price back to near the open.
The close can be above or below the open, although the close should be near the open in order for the real body to remain small.
The lower shadow should be at least two times the height of the real body.
Hammer candlesticks indicate a potential price reversal to the upside.
The strategy enhances standard Hammer pattern accuracy by clearing out market noises and manipulations from the indicator's triggers. Combination of Volume oscillator filter and Directional Movement Index (DMI) components values adjustments allows to detect only strong signals. The strategy is developed to forecast Long positions entries and exits. The strategy supports spot, futures, options and marginal trading exchanges. It works accurately with BTC, USD, USDT, ETH and BNB quote currencies. Best to use with 30 and 60 minutes timeframe charts. The strategy can be and should be configured for each particular asset. You can change filters and risk management settings to receive the most advanced accurate alerts
Advantages of this script:
1. Weak signals and market noises are filtered. This allows to receive only strong and confirmed alerts
2. Strategy can be easily configured in user interface for each particular asset
3. High performance. At the chart you can see examples of strategy entries and exits, you also can check strategy backtest for RENUSDT position:
Net profit: 26.95%
Percent profitable: 90%
Profit factor: 7.418
Duration of trade: 16 hours
How to use?
1. Apply indicator to the trading pair your are interested in at 30m or 60m timeframe chart
2. Configure the strategy: change filters values and risk management settings until Strategy tester shows good results according to mathematical expectation
3. Set up a TradingView alert to trigger when Hammer strategy conditions are met
4. Strategy will send alerts when to enter and when to exit positions
If you want to obtain access to the indicator please send us a personal message
Custom Triple Moving Average Strategy | Auto BacktestingCreate your own MA Strategy set of up to three moving averages!
Auto Backtesting.
Cloud between MA1 and MA2.
Many different MA types to choose from.
Totally Custom!
Happy Trading, and algorithm analysis!
TKP McClellan Summation Index Stochastics StrategyThis strategy uses NYSE McClellan summation Index as an input for Stochastics to produce Buy/Sell signals. Buy signal is produced when Stochastics K Line Closes over 50, and Sell signal when closes under 50.
Info on McClellan Summation Index: www.investopedia.com
Info on Stochastics: www.investopedia.com
Simple yet effective strategy, let me know if you have any questions!
Cycles StrategyThis is back-testable strategy is a modified version of the Stochastic strategy. It is meant to accompany the modified Stochastic indicator: "Cycles".
Modifications to the Stochastic strategy include;
1. Programmable settings for the Stochastic Periods (%K, %D and Smooth %K).
2. Programmable settings for the MACD Periods (Fast, Slow, Smoothing)
3. Programmable thresholds for %K, to qualify a potential entry strategy.
4. Programmable thresholds for %D, to qualify a potential exit strategy.
5. Buttons to choose which components to use in the trading algorithm.
6. Choose the month and year to back test.
The trading algorithm:
1. When %K exceeds the upper/lower threshold and then hooks down/up, in the direction of the Moving Average (MA). This is the minimum entry qualification.
2. When %D exceeds the lower/upper threshold and angled in the direction of the trade, is the exit qualification.
3. Additional entry filters include the direction of MACD, Signal and %D. Also, the "cliff", being a long entry is a higher high or a short entry is a lower low.
4. Strategy can only go "Long" or "Short" depending on the selected setting.
5. By matching the settings in the "Cycles" indicator, you can (almost) see what the strategy is doing.
6. Be sure to select the "Recalculate" buttons, to recalculate on every new Tick, for best results.
Please click the Like button and leave a comment if you appreciate this script. Improvements will be implemented as time goes on.
I am not a licensed trade advisor. This strategy is for entertainment only. Use at your own risk!
