相對強弱比較(RSC) — 指標和策略

Momentum Trading Strategy This is a Trend Following Momentum Strategy, where i used EMA, ADX, RSI, VWAP to take trade with Trend and initiate trade when Momentum builds up. The Default target is 1:2

Ichimoku Crosses_RSI_AIT Ichimoku Crosser_RSI_AIT Overview The "Ichimoku Cloud Crosses_AIT" strategy is a technical trading strategy that combines the Ichimoku Cloud components with the Relative Strength Index (RSI) to generate trade signals. This strategy leverages the crossovers of the Tenkan-sen and Kijun-sen lines of the Ichimoku Cloud, along with RSI levels, to identify potential entry and exit points for long and short trades. This guide explains the strategy components, conditions, and how to use it effectively in your trading. 1. Strategy Parameters User Inputs Tenkan-sen Period (tenkanLength): Default value is 21. This is the period used to calculate the Tenkan-sen line (conversion line) of the Ichimoku Cloud. Kijun-sen Period (kijunLength): Default value is 120. This is the period used to calculate the Kijun-sen line (base line) of the Ichimoku Cloud. Senkou Span B Period (senkouBLength): Default value is 52. This is the period used to calculate the Senkou Span B line (leading span B) of the Ichimoku Cloud. RSI Period (rsiLength): Default value is 14. This period is used to calculate the Relative Strength Index (RSI). RSI Long Entry Level (rsiLongLevel): Default value is 60. This level indicates the minimum RSI value for a long entry signal. RSI Short Entry Level (rsiShortLevel): Default value is 40. This level indicates the maximum RSI value for a short entry signal. 2. Strategy Components Ichimoku Cloud Tenkan-sen: A short-term trend indicator calculated as the simple moving average (SMA) of the highest high and the lowest low over the Tenkan-sen period. Kijun-sen: A medium-term trend indicator calculated as the SMA of the highest high and the lowest low over the Kijun-sen period. Senkou Span A: Calculated as the average of the Tenkan-sen and Kijun-sen, plotted 26 periods ahead. Senkou Span B: Calculated as the SMA of the highest high and lowest low over the Senkou Span B period, plotted 26 periods ahead. Chikou Span: The closing price plotted 26 periods behind. Relative Strength Index (RSI) RSI: A momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is used to identify overbought or oversold conditions. 3. Entry and Exit Conditions Entry Conditions Long Entry: The Tenkan-sen crosses above the Kijun-sen (bullish crossover). The RSI value is greater than or equal to the rsiLongLevel. Short Entry: The Tenkan-sen crosses below the Kijun-sen (bearish crossover). The RSI value is less than or equal to the rsiShortLevel. Exit Conditions Exit Long Position: The Tenkan-sen crosses below the Kijun-sen. Exit Short Position: The Tenkan-sen crosses above the Kijun-sen. 4. Visual Representation Tenkan-sen Line: Plotted on the chart. The color changes based on its relation to the Kijun-sen (green if above, red if below) and is displayed with a line width of 2. Kijun-sen Line: Plotted as a white line with a line width of 1. Entry Arrows: Long Entry: Displayed as a yellow triangle below the bar. Short Entry: Displayed as a fuchsia triangle above the bar. 5. How to Use Apply the Strategy: Apply the "Ichimoku Cloud Crosses_AIT" strategy to your chart in TradingView. Configure Parameters: Adjust the strategy parameters (Tenkan-sen, Kijun-sen, Senkou Span B, and RSI settings) according to your trading preferences. Interpret the Signals: Long Entry: A yellow triangle appears below the bar when a long entry signal is generated. Short Entry: A fuchsia triangle appears above the bar when a short entry signal is generated. Monitor Open Positions: The strategy automatically exits positions based on the defined conditions. Backtesting and Live Trading: Use the strategy for backtesting and live trading. Adjust risk management settings in the strategy properties as needed. Conclusion The "Ichimoku Cloud Crosses_AIT" strategy uses Ichimoku Cloud crossovers and RSI to generate trading signals. This strategy aims to capture market trends and potential reversals, providing a structured way to enter and exit trades. Make sure to backtest and optimize the strategy parameters to suit your trading style and market conditions before using it in a live trading environment.

CCI + EMA with RSI Cross Strategy This strategy uses the CCI + 2 RSIs + 2 EMAs to generate trade signals. Trades are only taken during the normal trading session and all open trades are closed 15 min before the close of the current session. A trailing stop loss is used and is customizable. Not trading advice, use at your own risk.

MACD Long Strat First script I've written, but the concept is pretty simple. This uses the MACD with settings fast_SMA = 6 and slow SMA=16 and uses the distance between the 2 (histogram) to look for potential trend reversals to flag potential entries for Long trades. It waits for the confirmation looking backward 2 x timeframes (to reduce false calls slightly). You can adjust it to open / close quicker (1 timeframe instread of 2) but backtesting shows 2 timeframe delay is best to avoid false signals. The script suggests Long entry points based on this criteria and uses the converse (reducing histogram / SMA difference delayed by 2 timeframes) to suggest exit or trade close points for downward reversal. It was originally written looking at 1m scalps but backtesting shows this is even more effective on higher timeframes (1D).

Bollinger DCA v1 Simple "benchmark" strategy for ETFs, Stocks and Crypto! Super-easy to implement for beginners, a BTD (buy-the-dip) strategy means that you buy a fixed amount of an ETF / Stock / Crypto every time it falls. For instance, to BTD the S&P 500 ( SPY ), you could purchase $500 USD each time the price falls. Assuming the macro-economic conditions of the underlying country remain favourable, BTD strategies will result in capital gains over a period of many years, e.g. 10 years. Recommended Chart Settings: Asset Class: ETF / Stocks / Crypto Time Frame: H1 (Hourly) / D1 (Daily) / W1 (Weekly) / M1 (Monthly) Necessary ETF Macro Conditions: 1. Country must have healthy demographics, good ratio of young > old 2. Country population must be increasing 3. Country must be experiencing price-inflation Necessary Stock Conditions: 1. Growing revenue 2. Growing net income 3. Consistent net margins 4. Higher gross/net profit margin compared to its peers in the industry 5. Growing share holders equity 6. Current ratios > 1 7. Debt to equity ratio (compare to peers ) 8. Debt servicing ratio < 30% 9. Wide economic moat 10. Products and services used daily, and will stay relevant for at least 1 decade Necessary Crypto Conditions: 1. Honest founders 2. Competent technical co-founders 3. Fair or non-existent pre-mine 4. Solid marketing and PR 5. Legitimate use-cases / adoption Default Robot Settings: Contribution (USD): $500 When: Dips below lower Bollinger Band *Robot buys $500 worth of ETF , Stock, Crypto, every time price falls below the lower Bollinger Band *Equity curve can be seen from the bottom panel* Risk Warning: This strategy is low-risk, however it assumes you have a long time horizon of at least 5 to 10 years. The longer your holding-period, the better your returns. The only thing the user has to keep-in-mind are the macro-economic conditions as stated above. If unsure, please stick to ETFs rather than buying individual stocks or cryptocurrencies.

MavXtrender Converted the B-Xtrender script from Puppytherapy into a strategy script. B-Xtrender was created by Bharat Jhunjhunwal and published in this IFTA Journal . I've added the following features: Ability to use factors instead of individual values for each parameter. This will allow you to quickly check different averages (5 vs 7 for example). Defaults adjusted for crypto trading (7 days/week). Switches to use either the short or long term indicator, or both. Time window