I've been pretty busy lately. Come back after half a day's rest ;)
The mysterious indicator has been sent, please check it.
Have you tried some good parameters?
Be sure to share it in the group

BTCUSD 4hr LS

Performance
Price-Volume-Dynamic-Strategy[presentTrading]
BTCUSD 4hr LS
Sortino Ratio 1.34
link:https://www.tradingview.com/script/yYxXVay2-Price-Volume-Dynamic-Strategy-presentTrading/

█ Introduction and How it is Different
Z-score: a statistical measurement of a score's relationship to the mean in a group of scores.
Simple but effective approach.
The "Price Based Z-Trend - strategy [presentTrading]" leverages the Z-score, a statistical measure that gauges the deviation of a price from its moving average, normalized against its standard deviation. This strategy stands out due to its simplicity and effectiveness, particularly in markets where price movements often revert to a mean. Unlike more complex systems that might rely on a multitude of indicators, the Z-Trend strategy focuses on clear, statistically significant price movements, making it ideal for traders who prefer a streamlined, data-driven approach.
BTCUSD 6h LS Performance

█ Strategy, How It Works: Detailed Explanation
🔶 Calculation of the Z-score
"Z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. A Z-score of 1.0 would indicate a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean."
The Z-score is central to this strategy. It is calculated by taking the difference between the current price and the Exponential Moving Average (EMA) of the price over a user-defined length, then dividing this by the standard deviation of the price over the same length:
z = (x - μ) /σ
Local

🔶 Trading Signals
Trading signals are generated based on the Z-score crossing predefined thresholds:
- Long Entry: When the Z-score crosses above the positive threshold.
- Long Exit: When the Z-score falls below the negative threshold.
- Short Entry: When the Z-score falls below the negative threshold.
- Short Exit: When the Z-score rises above the positive threshold.
█ Trade Direction
The strategy allows users to select their preferred trading direction through an input option.
█ Usage
To use this strategy effectively, traders should first configure the Z-score thresholds according to their risk tolerance and market volatility. It's also crucial to adjust the length for the EMA and standard deviation calculations based on historical performance and the expected "noise" in price data.
The strategy is designed to be flexible, allowing traders to refine settings to better capture profitable opportunities in specific market conditions.
█ Default Settings
- Trade Direction: Both
- Standard Deviation Length: 100
- Average Length: 100
- Threshold for Z-score: 1.0
- Bar Color Indicator: Enabled
These settings offer a balanced starting point but can be customized to suit various trading styles and market environments. The strategy's parameters are designed to be adjusted as traders gain experience and refine their approach based on ongoing market analysis.
Z-score is a must-learn approach for every algorithmic trader.

The day before yesterday, BTC long orders left the market at 67,000
Yesterday BTC 64200 short

Decision sharing based on strategy backtesting

$BTC $ETH $BNB

I’ve been busy working on my thesis for a month and it’s finally back! Bring an interesting Script to share with everyone on Tradingview.

Introducing: Vegas SuperTrend Enhanced - Strategy [presentTrading]. This script specifically adjusts SuperTrend's sensitivity to real-time market fluctuations, ensuring that it can adapt as market dynamics change. Come and try it!

In addition, this time I will give you a mysterious indicator, which is very effective and completely free! As long as you follow, like, retweet this and the next indicator post (next week), and leave your Tradingview username in the comment area, the mystery indicator will be yours!

Zero Sum World
The concept of a zero-sum world originates from game theory and refers to a system in which one party's gain is equal to the other party's loss. Overall, the total gain and total loss of the system are zero. In economics, this is often used to describe certain market behaviors, such as stock market trading. In the stock market, buyers and sellers are the main participants in the market. When a buyer purchases a stock, the seller gives up ownership of the stock. The buyer's gain comes from the seller's loss, and vice versa. From this perspective, the stock market appears to be a zero-sum game.

$SPY (9.7M) - Tracks the S&P 500, representing major U.S. large-cap stocks.
$QQQ (4.0M) - Follows the Nasdaq-100 Index, including large non-financial companies.
$IWM (1.3M) - Represents small-cap U.S. stocks via the Russell 2000 index.
$FXI (411k) - Tracks Chinese large-cap stocks listed in Hong Kong.
$HYG (377k) - Invests in U.S. high-yield corporate bonds.
$TQQQ (324k) - Seeks 3x the daily returns of the Nasdaq-100 Index.
$TLT (256k) - Tracks long-term U.S. Treasury bonds.
$SQQQ (244k) - Aims for 3x the inverse daily returns of the Nasdaq-100 Index.
$GLD (209k) - Offers exposure to the gold market.
$SLV (186k) - Aims to reflect the performance of silver prices.
$BITO (174k) - Focused on bitcoin futures, not direct bitcoin.
$SOXL (171k) - Targets 3x the daily performance of the U.S. semiconductor sector.
$SMH (137k) - Tracks the global semiconductor industry.
$EEM (136k) - Invests in large- and mid-cap emerging market equities.
$KWEB (133k) - Tracks the Chinese internet sector.
$XLF (115k) - Follows the financial sector within the S&P 500.
$GDX (115k) - Tracks publicly-traded gold-mining companies worldwide.
$UVXY (109k) - Seeks 1.5x the daily performance of the S&P 500 VIX Short-Term Futures.
$XBI (106k) - Represents U.S. biotechnology stocks with an equal-weighted index.

股票指數ETF
$SPY: 跟踪S&P 500指數，代表美國大型股票。
$QQQ: 跟踪Nasdaq-100指數，代表在納斯達克交易所上市的100家最大的非金融公司。
$IWM: 跟踪Russell 2000指數，代表美國小型股票。
$EEM: 跟踪新興市場的大中型股票。
地區專注ETF
$FXI: 跟踪在香港股票交易所交易的中國大型股票。
$KWEB: 跟踪中國互聯網行業的表現。
產業或主題ETF
$XLF: 跟踪S&P 500指數中的金融業股票。
$SOXL: 提供美國半導體公司指數每日表現3倍的槓桿。
$SMH: 跟踪全球半導體行業的表現。
$XBI: 跟踪美國生物科技股票的等權重指數。
商品ETF
$GLD: 提供投資者透過ETF結構進入黃金市場的方式。
$SLV: 旨在反映銀價的表現。
$GDX: 跟踪全球公開交易的黃金開採公司的表現。
固定收益ETF
$HYG: 投資於美國高收益公司債券。
$TLT: 跟踪長期美國國債。
槓桿與反向ETF
$TQQQ: 旨在提供Nasdaq-100指數每日表現的3倍槓桿。
$SQQQ: 旨在提供Nasdaq-100指數每日表現3倍反向槓桿。
$UVXY: 旨在提供S&P 500 VIX短期期貨指數每日表現的1.5倍。
其他
$BITO: 集中於比特幣期貨合約，而不是直接投資比特幣。