This is a no-repaint strategy that is highly optimized for BINANCE:ETHUSDTPERP 30m, normal candles. It is a long/short strategy that is based on CMF, ADX/DMI, Keltner Channels, and other oscillators to identify smart money.
The overall idea of the strategy is to effectively capture the beginnings and ends of trends in price action, and go long/short accordingly. To achieve this, potential entry points are identified with various oscillators and these are then filtered using a variety of moving averages and strength/momentum indicators.
Short and sell inflections are found when ADX, DMI, and/or CMF oscillate below a specified threshold, and Keltner Channels are also used to indicate potential trades.
The indicator will continue to be updated and optimized for current and future market conditions. If purchased, access to the indicator will be available within 24 hours.
Backtest Results Parameters: - 2021-01-01 to present (19 months) - 100% equity order size - 0.04% commission fees - No leverage
17,089% net profit through 296 trades with 60.47% of trades being profitable. Profit factor of 2.862, Sharpe Ratio of 1.158
Parameters: - 2021-01-01 to present (19 months) - $1,000 initial capital - $1,000 order size - 0.04% commission fees - No leverage
584% net profit through 296 trades with 60.47% of trades being profitable.
Parameters: - 2021-01-01 to present (19 months) - 500% equity order size - 0.04% commission fees - 5x leverage
8,587,557% net profit through 299 trades with 59.87% of trades being profitable.
Phát hành các Ghi chú
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Optimized parameters for current market conditions.
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Updated graphs.
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Added toggle for "Aggressive Mode" - works well with small or no leverage, but takes slightly higher-risk, higher-profit trades. Strategy now also considers several more candlestick patterns when finding long/short opportunities.
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Updated charts.
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Refined candlestick patterns.
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Removed unneeded code and added support for alerts and autotrading.
Backtesting update: From 2021-01-01 to 2022-08-01, net profit is 19112% with no leverage.