Multifactor Inverse Fisher Strategy (ps4)Best for higher time frames - 30m, 1H, 2H, 3H, 4H, D this strategy uses several factors that are pushed through an Inverse Fisher Transform (IFT). The higher the TF, the better the performance, up to 98%, but the number of deals tends to drop). Middle time frames (5m, 15m) look viable with Scaled Price (Scaled %P) and MFI factors. The factor list can be extended to include cci, stoch, rsi_stoch, emo, macd, cog, dpo, roc, accdist, cctbb, mom, awesome, tva, etc. Some of them need to be rescaled to a 0..100 interval. The IFT produces a value in the -1..1 interval (see: www.mesasoftware.com). This indicator does NOT repaint.
相對強弱指標(RSI)
Double RSI Strategy(ALMA RSI + Hull RSI)We're back at it with a brand new strategy centered around an Arnaud Legoux RSI and Hull RSI. This one took a lot longer to make than usual, which is the reason there hasn't been any new posts the last week.
The first component of the strategy is the Hull RSI. The Hull RSI is shown in light blue and its upper and lower bounds are plotted as the dark pink and teal horizontal lines. Applying a Hull Moving Average to the RSI results in higher smoothness and less false signals. The lengths of the RSI and the HMA of the RSI can both be adjusted by the user.
We then used a similar process to calculate an Arnaud Legoux Moving Average(ALMA) of the RSI. The ALMA RSI is shown as the solid white line, while its upper and lower thresholds are the green and red horizontal lines. The ALMA RSI is a great tool since it is adaptable for multiple different uses - users can adjust the offset, sigma, and length values to modify the RSI's responsiveness and smoothness.
Input Options for ALMA RSI:
-Offset : Value in range {0,1} that adjusts the curve of the Gaussian Distribution. A higher value will result in higher responsiveness but lower smoothness. A lower value will mean higher smoothness but less responsiveness.
-Length : The lookback for each ALMA calculation.
-Sigma : Defines the sharpe of the curve coefficients.
The entry and exit signals generated by the Hull RSI are represented by the small green(buy) and red(sell) circles, while the green and red vertical highlights are the ALMA RSI's buy and sell signals. By default, we set the pyramiding to 3, with 50% equity used in each trade to allow the ALMA to make the longer-term swing trades and higher frequency trades made with the Hull RSI.
The strategy will be posted on our website, ProfitProgrammers.com, soon. As always, we will be offering 3 day trials for this strategy so feel free to send a quick message to start the trial period!
2-Period RSI strategy (with filter)2-period RSI strategy backtest described in several books of the trader Larry Connors . This strategy uses a 2 periods RSI , one slow arithmetic moving average and one fast arithmetic moving average.
Entry signal:
- RSI 2 value below oversold level (Larry Connors usually sets oversold to be below 5, but other authors prefer to work below 10 due to the higher number of signals).
- Closing above the slow average (200 periods).
- Entry at closing of candle or opening of next candle.
Exit signal:
- Occurs when the candlestick closes above the fast average (the most common fast average is 5 periods, but some traders also suggest the 10 period average).
Entry Filter (modification made by me):
- Applied an RSI2 arithmetic moving average to smooth out oscillations.
- Entered only when RSI2 is below oversold level and RSI2 moving average is below 30.
* NOTE: In the stocks that I evaluate daily the averages of 4 and 6 periods work very well as a filter.
Comments:
This strategy works very well in Daily charts but can be applied in other chart times as well. As this is a strategy to catch market fluctuations, it presents different results with different stocks.
I have been applying this strategy to the stocks of the Brazilian market (BOVESPA) and have enjoyed the result. Every day I evaluate the stocks that are generating entry signals and choose which one to trade based on the stocks with the highest Profit Value.
The RSI 2 averaging filter probably will reduce profit of the backtests because reduces the number of signals, but the Profit Value will usually increase. For me this was a good thing because without the filter, this strategy usually shows more signals than I have capital to allocate.
Before entering a trade I look at which fast average the paper has the highest Profit Value and then I use this average as my output signal for that trade (this change has greatly improved the result of the outputs).
This strategy does not use Stop Loss because normally Stop Loss decreases effectiveness (profit). In any case, the option to apply a percentage Stop Loss if desired is added in the script. As the strategy does not use stop, extra caution with risk management is advisable. I advise not to allocate more than 20% of the trade capital in the same operation.
I'm still studying ways to improve this strategy, but so far this is the best setup I've found. Suggestions are always welcome and we can test to see if they improve the backtest result.
Good luck and good trades.
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Backtest das estratégia do IFR de 2 períodos descrita em varios livros do trader Larry Connors . Esta estratégia usa um IFR de 2 períodos, uma média movel aritmética lenta e uma média movel aritmética rápida.
Sinal de entrada:
- Valor do IFR 2 abaixo do nível de sobrevenda (Larry Connors usualmente define sobrevenda sendo abaixo de 5, mas outros autores preferem trabalhar abaixo de 10 devido ao maior número de sinais).
- Fechamento acima da média lenta (200 períodos).
- Realizado a compra no fechamento do candle ou na abertura do candle seguinte.
Sinal de saída:
- Ocorre quando o candle fecha acima da média rápida (a média rápida mais comum é a de 5 períodos, mas alguns traders sugerem também a média de 10 períodos).
Filtro para entrada (modificação feita por mim):
- Aplicado uma média móvel aritmética do IFR2 para suavisar as oscilações.
- Realizado a entrada apenas quando o IFR2 está abaixo do nível de sobrevenda e a média móvel do IFR2 está abaixo de 30.
*OBS: nos ativos que avalio diariamente as médias de 4 e 6 períodos funcionam muito bem como filtro.
Comentários:
Esta estratégia funciona muito bem no tempo gráfico Diário mas pode ser aplicada tambem em outros tempos gráficos. Como trata-se de uma estratégia para pegar oscilações do mercado, ela apresenta diferentes resultados com diferentes ativos.
Eu venho aplicando esta estratégia nos ativos do mercado brasileiro (BOVESPA) e tenho gostado do resultado. Diariamente eu avalio os papeis que estão gerando entrada e escolho qual irei realizar o trade baseado nos papeis que apresentam maior Profit Value.
O filtro da média do IFR 2 reduz o lucro nos backtests pois reduz também a quantidade de sinais, mas em compensação o Profit Value irá normalmente aumentar. Para mim isto foi algo positivo pois, sem o filtro, normalmente esta estratégia apresenta mais sinais do que possuo capital para alocar.
Antes de entrar em um trade eu olho em qual média rápida o papel apresenta maior Profit Value e então eu utilizo está média como meu sinal de saída para aquele trade (esta mudança tem melhorado bastante o resultado das saídas).
Está estratégia não utiliza Stop Loss pois normalmente o Stop Loss diminui a eficácia (lucro). De qualquer maneira, foi acrescentado no script a opção de aplicar um Stop Loss percentual caso seja desejado. Como a estratégia não utiliza stop é aconselhável um cuidado redobrado com o gerenciamento de risco. Eu aconselho não alocar mais de 20% do capital de trade em uma mesma operação.
Ainda estou estudando formas de melhorar esta estratégia, mas até o momento está é a melhor configuração que encontrei. Sugestões são sempre bem vindas e podemos testar para verificar se melhoram o resultado do backtest.
Boa sorte e bons trades.
[XBTUSD 5M] Slow Stochastic + RSI Strategyhis Strategy is Low lisk, middle Return
But, The signal does not occur often.
I think a good strategy is to buy (or sell) as a split
In this way, most transactions will be profitable.
Caution! It seems good to end the deal at once.
Even if you are losing money
Do not be greedy
If it helped, please leave a comment and Like
Good Luck :)
안녕하세요.
처음으로 전략 스크립트 글을 남깁니다.
이 전략은 비트맥스 스캘핑용 전략이며,
낮은 위험성으로 중간의 수익률을 기대할 수 있습니다.
하지만 시그널이 자주 발생하지는 않습니다.
전략의 핵심은 시그널이 발생했을 때, 분할로 매수하거나 매도하며
클로즈 시그널이 나왔을 때, 한 번에 파는 것이 중요합니다.
전략은 한번에 끝내는 것이 좋습니다.
손실을 보고 있거나, 더 큰 수익률을 위해 욕심을 부리지 마세요.
만약 도움이 되었다면 좋아요와 댓글을 남겨주세요.
감사합니다.
RSI - Oversold BTC StrategyWhen BTC goes through a large swing downward, it often goes into oversold territory and quickly swings back upwards. This strategy is designed to capitalize on the swings without gettings stopped-out with the surrounding volatility. I find that this strategy works best on the 5 minute chart.
You can set the maximum loss (in dollars), trade size (in BTC ), plus your trailing stop and offset (pips).
The blue line on the graph indicates your stop loss point, which trails your buy-in point by your specified maximum loss. Remember, in this strategy, this stop-loss is only used to protect you from unexpected large swings, your trailing stop loss is used to capture profits.
Strategy JMA(7,50,RSI) crossing RSI(14,close)Hello, i would like to submit a script dealing with Jurik Moving Average Crossing RSI . Also to avoid false positive, i made a test with long/short positions and entry/closing prices but unfortunately it's not working. I may be too noob to Pine.
If you have some ideas to refactor / improve / make this section works:
// ======= DEBUGGGGGGGG ============
long_price = 0.0
short_price = 0.0
if(startTime and endTime)
if(goLong())
long_price := close
strategy.entry("Buy", strategy.long, when = goLong())
strategy.close("Buy", when = killLong() and close > long_price)
// Shorting if using
goShort() => killLong()
killShort() => goLong()
if(startTime and endTime)
if(goShort())
short_price := close
strategy.entry("Sell", strategy.short, when = goShort() and close < short_price)
strategy.close("Sell", when = killShort())
// =========================
Thanks,
Stochastic Rsi based trading strategyThis strategy checks if the stochastic rsi is oversold, then checks if %K and %D are less than 10. If all these conditions happens, we have a buy signal.
After this, we will receive a sell signal when the stochastic rsi crosses under.
Double 7's StrategyStrategy described in the book "Short Term Trading Strategies that Work", written by Larry Connors and Cesar Alvarez.
It is the simplest strategy I know and has only 3 rules:
- Price must be above the arithmetic moving average of 200 periods.
- Buy when the price closes below the closing of the last 7 days.
- Sale when the price closes above the closing of the last 7 days.
Simple as it may seem, this strategy works very well in some stocks and/or graphical times (in some stocks it overcomes many RSI 2 strategies). It was developed for the daily chart and does not usually work well on weekly or monthly charts, but can be used for day trades if the back-test proves to be favorable.
If you want, you can change the input and output rules by setting other values for the input or output period and thus find more positive results for specific stocks.
There is no stop loss because in tests the stop loss usually reduces the gains of the strategy.
Good luck and good trades.
================================
Estrategia descrita no livro "Short Term Trading Strategies that Work", escrito por Larry Connors e Cesar Alvarez.
É a estratégia mais simples que eu conheço e tem apenas 3 regras:
- Preço deve estar acima da média móvel aritmética de 200 períodos.
- Compre quando o preço fechar abaixo do fechamento dos ultimos 7 dias.
- Venda quando o preço fechar acima do fechamento dos ultimos 7 dias.
Por mais simples que pareça, esta estratégia funciona muito bem em alguns papeis e/ou tempos gráficos (em alguns papeis a mesma supera muitas estratégias pelo IFR2). A mesma foi desenvolvida para o gráfico diário e normalmente não funciona muito bem em gráficos semanais ou mensais, mas pode ser utilizado no intraday caso o backtest se mostre favorável.
Caso você queira, é possível alterar a regra de entrada e saída definindo outros valores para o período de entrada ou saída e assim encontrar resultados mais positivos para cada papel.
Não existe stop loss pois nos testes normalmente o stop loss reduz os ganhos da estratégia.
Boa sorte e bons trades.
RSI-RENKO Divine Strategy (Backtesting)Live, non-repainting strategy using RENKO and RSI mixed together to multiple types of long and short positions.
- Features -
Live entry direction with trade warnings and alerts
Live trade building buy and sell limits (for buy/sell limits)
Entry location icons as well as pyramid entries (to add to existing position)
Swing trades that keep you in the trade for the maximum possible profit
1 scalp target based on the RSI settings and entry location
Dynamic trailing stop for swings and scalps
Alert conditions for every update and condition change of the strategy (Provided by indicator study)
4 pre-built color themes, including candlestick coloring
This strategy is best used with the companion indicators: Renko RSI and Renko Trend Momentum using the identical RSI and Trend settings.
The linked script is identical and used solely for alerts, because Trading View still after 3 years of requesting does not provide the ability to use alert conditions inside a strategy script, only an indicator script. This strategy should be used to backtest your settings.
The approach to this strategy uses several parallel trades of different types. In order to generate multiple trade types the "pyramid trades" setting of the strategy (second tab of the settings that lets you adjust the number of pyramid contracts) should be used.
- Trade Types -
Swing: This trade is entered on the solid arrows after the RSI has become oversold or overbought. It is key that all trades wait for some degree of pullback before entering, even after the trend flips between positive and negative. This trade is held until stopped out or an opposite trade is triggered that reverses the position.
Scalp: These trades have a limit buy/sell entry and a target. The initial target is the opposing RSI overbought or oversold level and changes in real time.
Turning on/off the different trade types (strategy only) is simple done by decreasing the number of contracts used for that trade type to zero. When the quantity is set to zero, that trade is not considered.
- Session -
The session filter is used to narrow trade executions by only allowing trades that are inside the session boundaries. This can be used to isolate the London or New York session for example. The default is 24 x 7 which filters no trades (Trading View has a bug when resetting this, so simply reset the indicator to get it back to 24x7).
Please see the following 3 videos introducing the concept of this strategy.
All feature requests or bug reports are welcome either by direct messaging or comments on this page or the linked indicator page.
Please PM for access. Cheers.
QuantNomad - RSI Strategy - LTCUSDT - 5mReally nice performance of Simple RSI Strategy for LTCUSDT ( Binance ) 5m chart.
Params: RSI Length: 3, RSI OverSold level: 47, RSI OverBought Level: 56
Performance: 391% profit, 2400 trades, 42% prof, 14.6% dd , 0.65 sharpe.
I think this strategy can be a really nice base for a pretty good strategy. We have quite a lot of trades here you can add additional filters that will improve strategy a bit.
And remember:
Past performance does not guarantee future results.
QuantNomad - RSI Strategy - NKE - 5mReally good performance of Simple RSI Strategy for Nike (NKE) 5m chart.
Params: RSI Length: 30, RSI OverSold level: 45, RSI OverBought Level: 60
Performance:57% profit, 112 trades, 73% prof, 6.7% dd, 1.36 sharpe.
And remember:
Past performance does not guarantee future results.
diamond_test_toolThis is a small test tool. The orders are close to random. The alg i used is nothing special.
Kozlod - RSI Strategy - 1 minute - ETHUSDTrying to find simple strategies with optimal parameters which work well for certain symbols/timeframe.
Found that basic RSI strategy without any position management works pretty good for 1m chart for BTCUSDT.
It might not work very good on it's not but can give you a pretty good base for more complicated indicators.
Also, some position management as simple as static SL and PT can improve performance quite a lot.
And remember:
Past performance does not guarantee future results.
Kozlod - RSI Strategy - 1 minuteStarted to play with very simple strategies. Trying to find ones with optimal parameters which work well for certain symbols/timeframe.
Found that basic RSI strategy without any position management with high RSI length (65 in this script) works pretty good for 1m chart for few stocks.
It's also not bad for AAPL , SPY .
It might not work very good on it's not but can give you a pretty good base for more complicated indicators.
And remember:
Past performance does not guarantee future results.
