Optimized for FXCM:EURUSD on 4H Candlestick charts using the historical price data from FXCM during the period March 1st 2019 - June 1st 2019. Find the backtesting report/strategy script here: The script is written in PineScript V.3, makes no use of the security() function and does not use the Trailing Stop-Loss function from TradingView. No repainting issue whatsoever.
Optimized for BITFINEX:LTCUSD on 2H Candlestick charts using the historical price data from the period March 1st 2019 - June 9th 2019. Find the indicator script here: The script is written in PineScript V.3, makes no use of the security() function and does not use the Trailing Stop-Loss function from TradingView. No repainting issue whatsoever.
Optimized for BITFINEX:LTCUSD on 2H Candlestick charts using the historical price data from the period March 1st 2019 - June 9th 2019. Find the Strategy script here: The script is written in PineScript V.3, makes no use of the security() function and does not use the Trailing Stop-Loss function from TradingView. No repainting issue whatsoever.
Optimized for OANDA:USDCAD on 1h Candlestick Charts using the historical price data from OANDA during the period March 1st 2019 - June 6th 2019. Find the indicator script here:
Optimized for OANDA:USDCAD on 1h Candlestick Charts using the historical price data from OANDA during the period March 1st 2019 - June 6th 2019. Find the backtesting report/strategy script here:
Optimized for BITMEX:XBTUSD on 30m Candlestick Charts. Find the Indicator script here: The script is written in PineScript V.3, makes no use of the security() function and it does not use the default trailing stop loss function from TradingView. No repainting issue whatsoever.
Optimized for BITMEX:XBTUSD on 30m Candlestick Charts. Find the Backtesting Report/Strategy script here:
High Frequency Algorithm optimized for 1h XBTUSD candlestick charts. Find the backtesting report/strategy script here:
Strategy version of the Study script of the same indicator. Optimized for 1h Candlestick Charts.
Strategy version of the Study script of the same indicator. Find the Study script here - Backtesting Parameters: Initial Capital = 100k USD Percentage of Equity Used per Trade = 100% Pyramiding Orders = 0 Fees = 0.075% (Bitmex Taker Fee) Slippage = $10 per Order (The algorithm is profitable even with $1050 slippage maximum)
Proprietary High Timeframe (HTF) Algorithm optimized for 12H charts. Built for automation purposes. See Backtesting Report/Strategy Script here:
Strategy script of the GBTrend indicator for backtesting purposes.
Enhanced version of the standard WaveTrend Oscillator, a leading oscillator that measures momentum. Easy-to-use and even more profitable than the standard version. This script uses a custom calculation formula to measure the momentum of a market. The new calculation formula allows the script to reduce the noise from false/weak signals and signal Long and Short...
Are you ready for Hypester's leading technology, the Spectro™ Algorithm? Many people ask what indicators Spectro™ uses, as a matter of fact, it doesn’t use any. Long story short, we used neural network techniques to find patterns studying previous successful movements, and from that, we extracted a formula that has been working out like a charm! It's the brain...
Scalping Crypto Assets Made Easy TB!G-Scalp is a TradingView based alert and accompanying strategy PineV3 Script. Backtest vs Realtime When designing the algorithms for this strategy our focus was primarily on ease of use.This results in a beautiful yet easy to use scalping strategy. As input it takes a chart period and only one extra parameter for...
Scalping Crypto Assets Made Easy TB!G-Scalp is a TradingView based alert and accompanying strategy PineV3 Script. Backtest vs Realtime When designing the algorithms for this strategy our focus was primarily on ease of use.This results in a beautiful yet easy to use scalping strategy. As input it takes a chart period and only one extra parameter for fine...
Now Spectro™ technology helps you find and trade several assets with one look. 08/08/18 - Beta test v1 is published