传说最好的短线日内交易策略,平均K线策略胜率大跃进!!! #剥头皮交易 #交易策略回测 #加密货币
Summary
TLDR欢迎来到投机实验室,这里介绍了一种据说是过去几年表现最佳的指标策略。视频通过300次连续回测来验证这一交易策略是否真正盈利。策略涉及平均K线图和两个免费的TradingView指标,包括线性回归蜡烛图和Utbot警报。介绍了如何设置和应用这些指标,并以比特币和美元的15分钟图表为例,详细说明了做多和做空的规则。测试结果显示,基于1:1风险回报率的胜率为54%,1:2和1:3操作的胜率分别为31%和20%。为了优化策略,作者增加了EMA200作为多空趋势的分界线,并调整了入场规则。视频最后提醒观众订阅,以便不错过更多盈利的交易系统。
Takeaways
- 📈 视频中介绍了一种在过去几年表现最佳的指标策略,并计划通过300次连续测试来验证其盈利能力。
- 🔍 交易者每天回顾交易,寻找最佳策略,并在视频中分享了如何通过交易视图指标来测试策略。
- 📊 首先使用平均K线图(Heikin-Ashi)来消除价格剧烈波动和市场噪音,帮助识别市场趋势。
- 🛠️ 视频中提到了两个免费的TradingView指标:线性回归蜡烛图(Linear Regression Candles)和Utbot警报。
- 🔧 线性回归蜡烛图的参数被调整为信号平滑度7,以简化图表并隐藏平均条形图。
- 📋 在Utbot警报指标中,将灵敏度设置为2,ATR设置为1,作为案例处理工具。
- 🏦 视频中以比特币兑美元的15分钟图表为例,解释了做多和做空的交易规则。
- 📉 测试结果显示,基于1:1风险回报比的操作胜率为54%,1:2为31%,1:3为20%,表明策略需要进一步优化。
- 📊 为了优化策略,视频中建议添加EMA200指数移动平均线作为多空趋势的分界线。
- ✅ 当关键K线的收盘价高于EMA200时,只做多;低于EMA200时,只做空,以此来提高交易策略的准确性。
- 🔔 视频最后提醒观众订阅频道,以便不错过更多盈利的交易系统。
Q & A
什么是Speculation Lab提到的交易策略?
-Speculation Lab提到的交易策略是一种基于平均K线图和两个Tradingview指标的策略,旨在通过消除图表中的剧烈价格波动和过滤市场噪音来帮助识别市场趋势。
如何将普通K线图切换到平均K线图(Heikin-Ashi)?
-在图表样式栏中找到平均K线图Heikin-Ashi,点击收藏按钮并选择添加到图表,这样就可以将图表从普通K线图切换到平均K线图。
线性回归蜡烛图(Linear Regression Candles)指标的作用是什么?
-线性回归蜡烛图指标用于简化图表并隐藏平均柱状图,通过设置信号平滑度参数为7来实现。
Utbot alerts指标在交易策略中扮演什么角色?
-Utbot alerts指标用于提供买卖信号,其灵敏度设置为2,ATR设置为1,作为当前使用的案例处理工具。
根据脚本,进入多头头寸的规则是什么?
-进入多头头寸的规则包括:Utbot alerts指标显示买入信号,且对应的K线实体部分应高于线性回归蜡烛图指标的白线。如果后续K线满足条件,也可以在K线收盘价进入市场。
如何在交易策略中设置止损和止盈?
-止损设置在近期波动带的低点,止盈则分批选择,一部分风险回报比为1:1,剩余部分持有以获取更高利润。
脚本中提到的EMA200指标的作用是什么?
-EMA200(200日指数移动平均线)被用作长短期趋势的分界线。当关键K线的收盘价高于EMA200时,只做多;当低于EMA200时,只做空。
脚本中提到的测试结果显示了什么?
-脚本中的测试结果显示,基于1:1或更高风险回报比的胜率为54%,1:2操作胜率为31%,1:3操作胜率为20%。这些数据表明测试结果并不十分理想,实际交易中需要进一步优化。
为什么需要对交易策略进行优化?
-在回测过程中发现,在波动市场中,策略频繁地因长短线止损而产生损失,因此需要添加EMA200作为长短期趋势的分界线来进行优化。
脚本中提到的优化后的交易规则有哪些变化?
-优化后的交易规则变化包括:多头交易时,关键K线的收盘价必须高于EMA200;空头交易时,关键K线的收盘价必须低于EMA200。
脚本最后提到的订阅按钮有什么作用?
-脚本最后提到的订阅按钮用于订阅频道,以便不错过更多盈利的交易系统分享。
Outlines
📈 交易策略测试介绍
本段介绍了一个在最近几年表现最佳的交易策略,并提出通过300次连续测试来验证其盈利性。提到了交易策略包括平均K线图和两个免费的TradingView指标,并强调了订阅的重要性。首先介绍了如何将普通K线图切换为平均K线图,即Heikin-Ashi,并解释了这样做可以帮助过滤市场噪音,更好地识别市场趋势。
📊 线性回归蜡烛图指标设置
在本段中,介绍了如何添加线性回归蜡烛图指标到图表中,并调整了信号平滑度参数为7,以简化图表并隐藏平均线图。虽然这一步隐藏了平均线图,但之前切换平均线图的步骤是必不可少的,因为接下来的指标将在普通K线图和平均K线图中显示不同的指示信号。
🚀 Utbot警报指标设置
介绍了如何设置Utbot警报指标,包括调整灵敏度为2和ATR为1,这是目前使用的案例处理工具。接下来,通过比特币和美元的15分钟图表,详细解释了进入多头和空头的交易规则,包括Utbot警报指标的买入信号,以及K线实体部分与线性回归蜡烛图指标的白线位置关系。
📉 交易规则与止损止盈策略
详细说明了如何根据K线实体部分与线性回归蜡烛图指标的白线位置关系来确定关键K线,并设定止损点和分批止盈点。对于多头,止损点设在近期波段低点,而对于空头,则设在近期波段高点。强调了交易规则的简单性,并提到了在比特币美元15分钟图表上进行的100次连续交易测试的结果。
📈 优化交易策略
在本段中,提到了在波动市场中,订单频繁被止损的情况,因此决定添加EMA指数移动平均线作为多空趋势的分界线。当关键K线的收盘价高于EMA200时,只做多;当低于EMA200时,只做空。并调整了进入多头和空头的规则,包括关键K线必须在EMA200之上或之下,以及如何设置止损和分批止盈。
🔔 结尾与订阅提醒
最后一段提醒观众不要忘记点击订阅按钮,以免错过更多盈利的交易系统,并以幽默的方式结束了视频,包括了早安、下午好、晚安等问候语。
Mindmap
Keywords
💡指标策略
💡Heikin-Ashi
💡线性回归蜡烛图
💡Utbot警报
💡EMA指数移动平均线
💡风险回报比
💡关键K线
💡止损
💡分批获利
💡交易测试
💡优化
Highlights
这是过去几年表现最佳的指标策略。
文明不如测试。
每天回顾交易,寻找最佳策略。
将进行300次连续测试,验证交易策略是否真正盈利。
交易策略涉及平均K线图和两个免费的Tradingview指标。
第一步是找到平均K线图Heikin-Ashi,并添加到图表中。
平均K线图可以消除图表中的强烈价格波动,过滤市场噪音。
第二步是搜索线性回归蜡烛指标,并设置参数信号平滑度为7。
第三步是添加Utbot警报指标,设置灵敏度为2和ATR为1。
以比特币和美元的15分钟图为例子,解释做多规则。
做多规则包括Utbot警报指标的买入信号和K线实体部分高于线性回归蜡烛指标的白线。
止损设置在最近的波段低点,止盈分批选择。
做空规则与做多相反,包括卖出信号和K线实体部分低于白线。
测试数据显示,基于1:1风险回报比的操作胜率为54%。
测试数据不太理想,实际交易需要优化。
在波动市场中,订单频繁被长短线止损。
决定添加EMA200指数移动平均线作为长短线趋势的分界线。
当关键K线收盘价高于EMA200时,只做多;低于EMA200时,只做空。
不要忘记订阅,不要错过更盈利的交易系统。
Transcripts
Yo, here I am,
welcome
to the Speculation Lab
. It is said that this is the indicator strategy with the best
performance
in the past few years.
Civilization is not as good as a test.
I review trading every day
, just to find the best. Next
, I will test it 300 times in a row The crude backtest to see if this trading strategy is really profitable.
Remember to click the subscribe button and stick to the end,
otherwise
your next transaction
may end in this way.
This trading strategy involves the average K-line chart
and two free The tradingview
indicator As usual, the link of the indicator will be listed in the description below. The
first step
is to find the average K-line chart
Heikin-Ashi
in the chart style bar, click the favorite button and select Add to the chart
, so that the chart will have a normal K-line chart Switched
to the average k-line chart. The
average k-line chart can eliminate strong price fluctuations in the chart and
filter
out some market noise, thus helping us better identify market trends. The
average k-line chart takes the average value
, so its closing price
and The actual closing price
of the ordinary K-line chart is
different. In this test,
I will switch the layout to the up-down layout and
use the above average K-line chart
as a signal indicator. The
second step is to open the indicator search bar and
search for the English of the linear regression candle Full name
Linear Regression Candles
Click to favorite and add to the chart
We changed the parameter signal
smoothness Signal Smoothing to 7
in order to make the chart
simple and hide the average bar chart
Although this step hides the average bar chart
, the first step is to switch the average bar chart The
step cannot be
omitted because the next
indicator
will display different indication signals in the ordinary k-line chart and the average k-line chart. The
third step
is to enter the Utbot alerts indicator in the indicator search bar and set the
sensitivity to 2 and ATR to 1.
This is what we are currently using The case-handling tool I arrived
Next
, I will explain the trading rules with examples.
This is the 15-minute chart of Bitcoin and USD.
The rules for entering long positions are:
first , the Utbot alerts indicator should have a buy signal
, and second, the entity part of the k-line corresponding to the buy signal
should be important Above the
white line of the Linear Regression Candles indicator,
if the real part of the corresponding k-line
is below the white line
, after the subsequent k-line meets the requirements, you
can also enter the market at the closing price of the k-line.
This k-line that meets the requirements
is our The key k-line, the stop loss
is set at the low point of the recent wave band, and the take
profit is selected in batches, that
is, a part of the risk-reward ratio is 1:1, and the
remaining part is held to
gain higher profits. The
short-selling rule is opposite
. First, the indicator should be A sell signal appears.
Second , the solid part of the k-line corresponding to the sell signal
should be below the white line. If
the corresponding k-line does not meet the requirements, you can also enter
the market at the closing price of
the k-line after the subsequent k-line meets the requirements .
The k-line that meets the requirements is our key k-line. The
stop loss is set at the recent swing high point, and the take profit is also selected in batches. The
method and the
rules are very simple. Then I conducted
100 consecutive trading tests on the 15-minute chart of Bitcoin USD. The
test range is from December 24, 2022 to January 14, 2023. The winning rate based
on the risk-reward ratio of 1:1 or more is 54 %
Risk-to-reward ratio 1:2 operation win rate is 31%,
1:3 operation win rate is 20%.
This test data
is a bit unsatisfactory . If it is
to be used in actual trading, some optimization needs to be done.
During the backtesting process, I
found that the order is at
In the volatile market, it
is
very obvious that the loss is repeatedly stopped by the long and short.
For this reason
, I decided to add an EMA exponential moving average as
the dividing line of the long-short trend. The
parameter is set to 200.
When the closing price of the key k-line
is above EMA200, we only
Going long When
the closing price of the key K-line
is below EMA200, we
only go short
, then the current long rule is changed to first
the indicator should show a buy signal
, and second, the real part of the K-line corresponding to the buy signal
should be
on the white line Above
and the closing price must be above EMA200.
This K-line is our key K-line. The
stop loss
is set at the low point of the recent band
or below EMA200
. Take profit in batches
. The rule of shorting is that the indicator must
first appear Sell signal Second , the
real part of the k-line corresponding to the sell signal should be below the white line
and the closing price should be below the EMA200.
This k-line is our key k-line. The
stop loss
should be set at the recent swing high
it is definitely worth your time to optimize
. Don’t forget to click the subscribe button so as not to
miss a more profitable trading system. Goodbye for now.
Good morning
afternoon good night bye bye
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