I. Fundamental Understanding of Intraday Trend Determination
Intraday trend refers to the continuous directional movement of prices within a trading day, serving as the core basis for short-term trading strategies. It reflects the balance of bullish and bearish forces and is also a key anchor for risk control. Intraday trading has particular characteristics: requires rapid decision-making at the second/minute level, high liquidity during opening and closing periods, and increased volatility in after-hours trading; sensitive to sudden events, frequent trading necessitates cost control, and it heavily relies on technical tools and trader discipline.
II. Four Core Tools for Trend Determination
1. K-Line Pattern Positioning Trend Judgment: Higher highs and higher lows (HH/HL) indicate an uptrend, suitable for buying on dips; lower lows and lower highs (LL/LH) indicate a downtrend, suitable for shorting rebounds; structural breaks may signal reversals or acceleration.
Key Patterns: Hammer at the end of a decline, bullish engulfing pattern, hanging man, evening star, and three black crows are important reversal signals.
Risk Avoidance: Beware of false breakouts, verify with subsequent K-lines and volume; assess trend strength through changes in trendline slope.
2. Moving Average System Confirmation
Trend Signals: Short-, medium-, and long-term moving averages trending in the same direction (slope >30° indicates strong trend, <15° suggests consolidation/reversal), forming bullish/bearish alignments. Golden cross signals a bullish trend; death cross indicates a bearish trend. Effective Breakouts: Price must break through moving averages with more than 3% amplitude, stabilize above 2 K-lines, and volume must increase to at least 1.5 times the 5-day average volume.
Practical Application: Use 5/15-minute moving averages for intraday trading, 20/60-minute for swing trading; implement tiered position building and dynamic profit-taking.
3. Multi-Cycle Resonance Verification
Cycle Logic: Main cycle (e.g., 1-hour chart) determines direction; sub-cycle (e.g., 15/5-minute charts) identify buy/sell points, with sub-cycles following the main cycle trend.
Resonance Signals: Multi-cycle moving averages and MACD aligned in the same direction significantly increase success rate (e.g., MACD on three cycles above zero line yields a 78% probability of a bullish move).
Response Strategies: Reduce positions on sub-cycle divergence; multi-cycle divergence can be used to reverse positions.
4. Volume-Price Coordination Verification Effective Trends: Increasing volume with rising prices (strong upward momentum), decreasing volume with falling prices (exhausted selling pressure) are healthy signals; flat volume with stagnant prices warrants caution.
Divergence Warnings: Price makes new highs/lows without volume confirmation may indicate trend exhaustion. Anomaly Alerts: Extreme volume peaks at tops, wash trading, sudden volume surges at the end of trading—these are often traps for false moves; verify with subsequent price action.
III. Practical Strategy Integration
1. Triple Filtering Mechanism Combine K-line patterns (structural judgment), moving average system (trend confirmation), multi-cycle resonance (signal verification), with volume analysis to filter out false breakouts and improve trading success rate.
2. Risk Control and Position Management Stop-loss Setting: Limit maximum loss per trade to 2% of total capital; dynamically adjust stop-loss based on volatility. Position Strategy: Initiate with 30% of position upon first breakout, add 50% on pullback confirmation; close 50% on short-term moving average cross reversal; close all if price breaks below trendline.
3. Discipline Requirements Standardized Signals: Quantify trading conditions to reduce subjective judgment. Review and Optimization: Record daily trading rationale and deviations for targeted improvements. Emotional Control: Set daily maximum loss limits to prevent revenge trading; distinguish between expected and actual market conditions, strictly adhere to strategies.
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Core Guide to Intraday Trend Positioning
I. Fundamental Understanding of Intraday Trend Determination
Intraday trend refers to the continuous directional movement of prices within a trading day, serving as the core basis for short-term trading strategies. It reflects the balance of bullish and bearish forces and is also a key anchor for risk control. Intraday trading has particular characteristics: requires rapid decision-making at the second/minute level, high liquidity during opening and closing periods, and increased volatility in after-hours trading; sensitive to sudden events, frequent trading necessitates cost control, and it heavily relies on technical tools and trader discipline.
II. Four Core Tools for Trend Determination
1. K-Line Pattern Positioning
Trend Judgment: Higher highs and higher lows (HH/HL) indicate an uptrend, suitable for buying on dips; lower lows and lower highs (LL/LH) indicate a downtrend, suitable for shorting rebounds; structural breaks may signal reversals or acceleration.
Key Patterns: Hammer at the end of a decline, bullish engulfing pattern, hanging man, evening star, and three black crows are important reversal signals.
Risk Avoidance: Beware of false breakouts, verify with subsequent K-lines and volume; assess trend strength through changes in trendline slope.
2. Moving Average System Confirmation
Trend Signals: Short-, medium-, and long-term moving averages trending in the same direction (slope >30° indicates strong trend, <15° suggests consolidation/reversal), forming bullish/bearish alignments. Golden cross signals a bullish trend; death cross indicates a bearish trend.
Effective Breakouts: Price must break through moving averages with more than 3% amplitude, stabilize above 2 K-lines, and volume must increase to at least 1.5 times the 5-day average volume.
Practical Application: Use 5/15-minute moving averages for intraday trading, 20/60-minute for swing trading; implement tiered position building and dynamic profit-taking.
3. Multi-Cycle Resonance Verification
Cycle Logic: Main cycle (e.g., 1-hour chart) determines direction; sub-cycle (e.g., 15/5-minute charts) identify buy/sell points, with sub-cycles following the main cycle trend.
Resonance Signals: Multi-cycle moving averages and MACD aligned in the same direction significantly increase success rate (e.g., MACD on three cycles above zero line yields a 78% probability of a bullish move).
Response Strategies: Reduce positions on sub-cycle divergence; multi-cycle divergence can be used to reverse positions.
4. Volume-Price Coordination Verification
Effective Trends: Increasing volume with rising prices (strong upward momentum), decreasing volume with falling prices (exhausted selling pressure) are healthy signals; flat volume with stagnant prices warrants caution.
Divergence Warnings: Price makes new highs/lows without volume confirmation may indicate trend exhaustion.
Anomaly Alerts: Extreme volume peaks at tops, wash trading, sudden volume surges at the end of trading—these are often traps for false moves; verify with subsequent price action.
III. Practical Strategy Integration
1. Triple Filtering Mechanism
Combine K-line patterns (structural judgment), moving average system (trend confirmation), multi-cycle resonance (signal verification), with volume analysis to filter out false breakouts and improve trading success rate.
2. Risk Control and Position Management
Stop-loss Setting: Limit maximum loss per trade to 2% of total capital; dynamically adjust stop-loss based on volatility.
Position Strategy: Initiate with 30% of position upon first breakout, add 50% on pullback confirmation; close 50% on short-term moving average cross reversal; close all if price breaks below trendline.
3. Discipline Requirements
Standardized Signals: Quantify trading conditions to reduce subjective judgment.
Review and Optimization: Record daily trading rationale and deviations for targeted improvements.
Emotional Control: Set daily maximum loss limits to prevent revenge trading; distinguish between expected and actual market conditions, strictly adhere to strategies.