piRSI Strategy is based on my relative strength index indicator pi RSI because it uses the first 15 sequential numbers in Archimedes constant "pi" 3.14159265358979.. I felt that the never ending, non-repeated number, pi, was a good candidate for an input that tracks the constantly changing trends these days. This is a price momentum strategy that helps you...
This is version 1.0 FibVIP Strategy. It's based on my Fibonacci VIP indicator script. Fibonacci VIP (Fibonacci Volume Indicator Precision) is a volume indicator that I made to help me have precise entry and exit timing. It's based on the well-known Fibonacci sequence 1, 2, 3, 5, 8, 13, 21, 34, 55, 89... The default colors I like to use can be changed to whatever...
Hello traders! I have been developing Eagle trading indicator over the last year. This algorithm indicator is based on a set of different strategies, each with its own weight (weighted strategy). The set of strategies that I currently use are 4: Stochastic RSI ADX MA crossover Keltner Channel Moreover, this indicator includes STOP losses criteria and a taking...
Hello traders! I have been developing Shark trading indicator over the last year. This algorithm indicator is based on a set of different strategies, each with its own weight (weighted strategy). The set of strategies that I currently use are 6: MACD Stochastic RSI RSI Supertrend MA crossover Donchin Channel Moreover, this indicator includes STOP losses criteria...
This strategy is built on the Chanu Delta RSI , which indicates the strength of the Bitcoin market. The problem with the previous Chanu Delta Strategy was that it was simply based on the price difference between the two Bitcoin markets, so there was no universality. However, this new Chanu Delta RSI strategy solves the problem by introducing an RSI that compares...
This is a strategy specifically made for 1D BTC/USD with the aim of capturing cycle tops and bottoms. It's mainly based on two indicators: 21d average of ATR (volatility) and (BTC.price - 180d sma)/BTC.price (heat). The strategy only signals buys or sells after occurrences of high volatility, followed by extremely high or low heat values. It's optimized for...
Strategy based on EMA and EMA Oscilator (EMA - close) + Std Dev + Factor = detecting oversell/overbuy Long only! Pyramiding - sometimes, depends on ... There're 2 enter strategies in one script: 1 - Classic, buy on entering to OverSell zone (more profitable ~> 70%) 2 - Crazy, buy on entering to OverBuy zone (catching trend and pyramiding, more net profit) Exit...
This strategy uses mostly three things:- 1. average RSI (sma rsi over a period) 2. sudden buy and sudden sell (usually to infer the change in trend or direction) 3. various EMAs ( used as a filter) I mostly build it to work on a 3min crypto chart but it should work on any timeframe or any symbol. Settings - Length -RSI length (hardly needed to be changed but...
This 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 +...
This trading system comes from the experience of having a "fast" signal for entry at low prices (such as the stoscastic) and then "following" the stock with a "slower" indicator such as the exponential moving average. Both the input and output signals are filtered. The use of the trading system only carries out long operations and has been tested on shares and...
This strategy is a modification of the “R3 Strategy” from the book "High Probability ETF Trading" by Larry Connors and Cesar Alvarez. This RSI strategy is for a 1-day time-frame and has these 3 simple rules: Criteria: The price must be above the 200 day moving average. The 2-period (day) RSI drops 3 days in a row. The 2-period RSI must have been below 60 3...
This strategy aims to identify condition of exhaustion to trade market reversal. It uses multiple indicators to enter a position. It uses following indicator: 1. RSI 2. ATR Functionality of the Multi-Indicator: 1. RSI: If RSI value is more then 70(input parameter) then market is over-brought. When less than 30 (input parameter) then market is over sold. Over...
Hello 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...
This script is a combination of 3 smoothed moving averages, and RSI. When moving averages are aligned upward (downward) and RSI is above (below) 50 and a down (up) William fractal appears, it enters long (short) position. Exiting from long and short entries are defined by StopLoss and TargetProfit.
A losing strategy. The script is needed for demonstration purposes. Do not use the Fear and Greed Index. Indicator The black line shows the values of the Fear and Greed Index. The index values are not updated! Available values are from 01-01-2020 to 30-01-2022. Settings You can change the thresholds for fear and greed. The default values are 25 for fear...
* Auto quantity & commission = 0.06 (Binance future fee) 1. H4 timeframe: Supertrend indicator - Long when the closes candles is above the green line. - Short when the closes candles is below the red line. 2. H1 timeframe: Supertrend indicator - Long when the closes candles is above the green line. - Short when the closes candles is below the red line. 3. How...
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:...
Buys if there is crossover in J and D and the crossover is above an SMA defined as an input parameter Sells if the close is below the SMA or there is a crossunder in J and D The KDJ calculation is done using ll21LAMBOS21 script. I added start date, end date, stop loss margin and stop profit margin to ease the simulation on diferent conditions of the...