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The Core Principle of Long-Short Ratio
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What is the Long-Short Ratio?
The BTC Long-Short Ratio index refers to the ratio of the total number of holders of long positions to the total number of holders of short positions for the corresponding contract cryptocurrency at a given time.
The Long-Short Ratio of positions held is an important indicator that measures the distribution of market participants' sentiment, revealing the internal power dynamics of the market from a professional perspective. Since the market mechanism determines that the total position value of long and short positions is always equal, this means that the true advantage of longs or shorts does not manifest in the size of the positions, but rather in the relationship of the number of individual participants. When the number of participants on one side far exceeds that of the other, it inevitably leads to an imbalance in the distribution of unit position value, which also implies the degree of concentration of retail participation within that group.
Specifically, when the Long-Short Ratio is greater than 1, it indicates that the number of long positions is significantly dominant, which usually releases a signal that market sentiment is leaning towards optimism; at this time, most retail investors tend to be bullish. However, an excessively high Long-Short Ratio may mean that market confidence is too uniform, increasing the potential risk of a correction. Conversely, when the Long-Short Ratio is less than 1, it indicates that the number of short investors is more dominant, and most retail investors may tend to be bearish, which typically reflects expectations of a price decline. Experts will combine such sentiment indicators with other market factors (such as capital flow, changes in position amounts, etc.) to comprehensively assess the market state and accurately identify potential market turning points driven by sentiment.
- Core Logic
Market Sentiment Indicator: The Long-Short Ratio reflects the current overall sentiment by quantifying the distribution of positions among market participants.
Long-Short Ratio high (\u003e1): The number of bulls is dominant, which may indicate strong market confidence, but there may also be a risk of overheating (bulls killing bulls).
Long-Short Ratio low (<1): The number of short positions is more dominant, usually indicating a bearish sentiment in the market, but if it is too low, it may trigger short covering.
Big Player Mindset: When the Long-Short Ratio is too extreme, it may indicate a consensus in market expectations, suggesting that the opposing side is hiding and preparing to strike.
- Application Method
The Long-Short Ratio of open positions typically shows an inverse correlation with market trends. When the market is declining, the Long-Short Ratio continues to grow; conversely, when the market is rising, the Long-Short Ratio tends to decline, which often indicates that the current market direction is likely to continue the previous trend.
When the number of long and short positions is at an extremely high or low level, the market usually experiences short-term volatility, such as a higher probability of pin bar phenomena.
When the market is at a high level, if the Long-Short Ratio shows a significant increase, it indicates that the market is likely to reverse. However, if the Long-Short Ratio is at a moderate level (close to a 1:1 ratio) during a high market, the market is more likely to continue the previous upward trend.
- Long-Short Ratio Tracking Strategy Analysis
Track dynamic changes and seize opportunities:
By observing the dynamic changes in the market Long-Short Ratio, assess the flow of funds and market sentiment, confirm buy or sell signals, and seize key trading opportunities for market reversals or trend-following.
- Pay attention to key level breakthroughs and be aware of risks:
When the Long-Short Ratio breaks through a certain important key value (such as 1.6), it indicates that market sentiment leans towards bearish, and the overall market is likely to face downward pressure, increasing the risk at this time.
At this time, the capital of the main players shorting is often more concentrated, leading to a higher probability of further decline. Caution should be exercised in operations or strategies should be adjusted to control risks.
- Key low position signals, pay attention to opportunities:
When the Long-Short Ratio falls below a certain critical low value (such as 1.08), the main force's long funds gradually return, sentiment gradually warms up, and the overall probability of the market rising increases.
At this time, it is important to pay close attention to whether there are rebound signals combined with price increases, to seize potential opportunities to enter a long position.
Suggestion:
Strict Risk Control Principles: Integrate a certain profit-taking and stop-loss ratio to set reasonable risk control limits for each trade, reducing the impact of market volatility on returns.
Optimize decision stability: By combining other market parameters (such as trading volume, capital flow, technical indicators, etc.), further enhance the accuracy and continuity of decisions, ensuring a reasonable balance between profit and risk.
- The effectiveness of the Long-Short Ratio tracking strategy signals
Chart OKX-BTCUSDT Perpetual Contract
Signal Highlights: Identifying Major Trends
IV. Indicator Source Code
// @version=2
// Create your custom script here
lspr = security('i:lsprbtc:okex', '5m', close)
var long_count = 0
var long_avg = 0
var long_max_profit = 0
var active_long_profit_monitor = false
var active_long_drawdown_order = false
var short_count = 0
var short_avg = 0
var short_max_profit = 0
var active_short_profit_monitor = false
var active_short_drawdown_order = false
var frozen_interval = 60 * 60
var finish_time = 0
// max_lspr = highest(lspr, 500);
// min_lspr = lowest(lspr, 500);
// lspr_ratio = (lspr - min_lspr)/(max_lspr - min_lspr)
lspr_ratio = lspr
lc = 1.6
sc = 1.08
take_profit = 0.05
stop_loss = 0.05
long = crossdown(lspr, lc) and long_count == 0 and time - finish_time > frozen_interval
short = crossup(lspr, sc) and short_count == 0 and time - finish_time > frozen_interval
long_take_profit_order = close/long_avg - 1 > take_profit and long_count == 1
long_stop_loss_order = close/long_avg - 1 < -1 * stop_loss and long_count == 1
short_take_profit_order = short_avg/close - 1 > take_profit and short_count == 1
short_stop_loss_order = short_avg/close - 1 < -1 * stop_loss and short_count == 1
exitLong(short, price='market', amount=1000)
exitShort(long, price='market', amount=1000)
enterLong(long, price='market', amount=1000)
enterShort(short, price='market', amount=1000)
alertcondition(long, title='Long', direction='buy');
alertcondition(short, title='Short', direction='sell');
plotText(long, title='long', text = 'Go Long', refSeries = low, bgColor='green', color='white', fontSize=14, placement='bottom' ,display=true);
plotText(short, title='short', text = 'Open Short', refSeries = high, bgColor='red', color='white', fontSize=14, placement='top' ,display=true);
exitLongPercent(long_take_profit_order or long_stop_loss_order, id = 'cond4',price='market', percent=100)
exitShortPercent(short_take_profit_order or short_stop_loss_order, id = 'cond8',price='market', percent=100)
plotText(long_take_profit_order, title='long_take_profit_order', text = 'Take Profit', refSeries = high, bgColor='red', color='white', fontSize=14, placement='top' ,display=true);
plotText(long_stop_loss_order, title='long_stop_loss_order', text = 'Long Stop Loss', refSeries = high, bgColor='red', color='white', fontSize=14, placement='top' ,display=true);
plotText(short_take_profit_order, title='short_take_profit_order', text = 'Take Profit', refSeries = low, bgColor='green', color='white', fontSize=14, placement='bottom' ,display=true);
plotText(short_stop_loss_order, title='short_stop_loss_order', text = 'Short Stop Loss', refSeries = low, bgColor='green', color='white', fontSize=14, placement='bottom' ,display=true);
long_signal = long // true or false Long position signal
short_signal = short // true or false Short Selling Signal
active_trail = 0.03 // Activate trailing take profit at 3% increase
drawdown = 0.5 // Close position at 50% drawdown from the peak
if (long_signal and long_count == 0) {
long_count := 1
long_avg := close
active_long_profit_monitor := false
}
if (short_signal and short_count == 0) {
short_count := 1
short_avg := close
active_short_profit_monitor := false
}
if (short_signal or long_stop_loss_order or long_take_profit_order or active_long_drawdown_order) {
long_count := 0
finish_time := time
}
if (long_signal or short_stop_loss_order or short_take_profit_order or active_short_drawdown_order) {
short_count := 0
finish_time := time
}
if (long_count > 0) {
profit = (close - long_avg) / long_avg
if (profit > long_max_profit) {
long_max_profit := profit
}
if (profit > active_trail and long_max_profit > active_trail) {
active_long_profit_monitor := true
}
if (active_long_profit_monitor) {
back = profit/long_max_profit
if (back < drawdown) {
active_long_drawdown_order := true
}
}
} else {
active_long_drawdown_order := false
active_long_profit_monitor := false
long_max_profit := -999999999
long_avg := 0
}
if (short_count > 0) {
profit = (short_avg/close) - 1
if (profit > short_max_profit) {
short_max_profit := profit
}
if (profit > active_trail and short_max_profit > active_trail) {
active_short_profit_monitor := true
}
if (active_short_profit_monitor) {
back = profit/short_max_profit
if (back < drawdown) {
active_short_drawdown_order := true
}
}
] else [
active_short_drawdown_order := false
active_short_profit_monitor := false
short_max_profit := -999999999
short_avg := 0
}
exitLongPercent(active_long_drawdown_order, id = 'Take Profit',price='market', percent=100)
exitShortPercent(active_short_drawdown_order, id = 'Take Profit Short',price='market', percent=100)
plotText(active_long_drawdown_order, title='Move Take Profit Long Order', text = 'Move Take Profit Long Order', refSeries = high, bgColor='red', color='white', fontSize=14, placement='top' ,display=true);
plotText(active_short_drawdown_order, title='Trailing Take Profit Short Order', text = 'Trailing Take Profit Short Order', refSeries = low, bgColor='green', color='white', fontSize=14, placement='bottom' ,display=true);
Five, Comprehensive
The Long-Short Ratio, as an intuitive reflection of market sentiment and capital flow, is an important reference indicator for identifying market trends and potential reversals. By focusing on the key changes in the Long-Short Ratio, combined with specific market performance, investors can effectively capture trending opportunities and avoid potential risks.
Recommendation:
Trend Trading: Use the high and low values of the Long-Short Ratio in conjunction with the trend as reference points, and filter entry opportunities using volume indicators to increase the success rate of trades.
Risk Management: When the Long-Short Ratio is at extreme values (e.g. >1.6 or <1.08), it is essential to closely monitor market reversal signals and adjust positions in a timely manner to reduce risk.
Dynamic Optimization: The Long-Short Ratio signal should dynamically match market volatility and capital flow, maintaining efficient trading logic in complex market conditions through continuous optimization of usage strategies.
Reasonably utilizing the analysis function of the Long-Short Ratio can not only accurately identify market turning points but also empower trading strategies and enhance long-term profitability.
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