Charles Thanh
Open Trade
Frequent Trader
6.5 Years
37 Following
39 Followers
108 Liked
10 Shared
Posts
Portfolio
All
Quotes
Can be long again from this point
TECHNICAL INDICATOR ANALYSIS: ELLIOTT WAVES AND FIBONACCI
In trading, Elliott waves describe the structure of price movement according to the crowd's psychological cycle, while Fibonacci helps measure the depth – the length of waves using natural mathematical ratios. When combined, they create the strongest trend forecasting system and reversal points in technical analysis.
🔹 1. Elliott waves – the framework of the market
According to Elliott's theory, a price cycle consists of:
5 upward waves (1–2–3–4–5) according to the main trend.
🔹 1. Elliott waves – the framework of the market
According to Elliott's theory, a price cycle consists of:
5 upward waves (1–2–3–4–5) according to the main trend.
GM
TECHNICAL INDICATOR ANALYSIS: ELLIOTT WAVE AND MULTI-TIMEFRAME LOGARITHM
In trading, each timeframe reflects a different layer of logic in price behavior. When combining the multi-timeframe logarithmic view with Elliott wave theory, traders can see the 'wave structure nested within waves' — the foundation of in-depth price action analysis.
🔹 1. Multi-timeframe logarithmic thinking
The price in the logarithmic chart represents the growth rate in percentage, not in absolute price. Therefore, when observing a larger frame (1D–1W), the fluctuations become more balanced and help identify the Elliott wave cycles more accurately.
🔹 1. Multi-timeframe logarithmic thinking
The price in the logarithmic chart represents the growth rate in percentage, not in absolute price. Therefore, when observing a larger frame (1D–1W), the fluctuations become more balanced and help identify the Elliott wave cycles more accurately.
TECHNICAL INDICATOR ANALYSIS: ELLIOTT WAVE AND MULTI-TIMEFRAME LOGARITHM
In trading, each timeframe reflects a different layer of logic in price behavior. When combining the multi-timeframe logarithmic view with Elliott wave theory, traders can see the 'wave structure nested within waves' — the foundation of in-depth price action analysis.
🔹 1. Multi-timeframe logarithmic thinking
The price in the logarithmic chart represents the growth rate in percentage, not in absolute price. Therefore, when observing a larger frame (1D–1W), the fluctuations become more balanced and help identify the Elliott wave cycles more accurately.
🔹 1. Multi-timeframe logarithmic thinking
The price in the logarithmic chart represents the growth rate in percentage, not in absolute price. Therefore, when observing a larger frame (1D–1W), the fluctuations become more balanced and help identify the Elliott wave cycles more accurately.
TECHNICAL INDICATOR ANALYSIS: ELLIOTT WAVES AND FIBONACCI
In trading, Elliott waves describe the structure of price movement according to the crowd's psychological cycle, while Fibonacci helps measure the depth – the length of waves using natural mathematical ratios. When combined, they create the strongest trend forecasting system and reversal points in technical analysis.
🔹 1. Elliott waves – the framework of the market
According to Elliott's theory, a price cycle consists of:
5 upward waves (1–2–3–4–5) according to the main trend.
🔹 1. Elliott waves – the framework of the market
According to Elliott's theory, a price cycle consists of:
5 upward waves (1–2–3–4–5) according to the main trend.
TECHNICAL INDICATOR ANALYSIS: LIQUIDATION MAP
The Liquidation Map is a visual tool displaying the liquidation zones (liquidation levels) of the futures market on exchanges, compiled by the Coinglass platform. It helps traders see where high-leverage Long/Short orders are concentrated, thus predicting areas where prices are prone to 'liquidation sweeps' – a common phenomenon in crypto.
🔍 How it works:
When a trader opens a leveraged position (for example, Long BTC at 70,000 USD with 10x), if the price drops by about 10%, it will be liquidated. Coinglass collects data from major exchanges and displays the liquidation density by price in the form of a heatmap.
🔍 How it works:
When a trader opens a leveraged position (for example, Long BTC at 70,000 USD with 10x), if the price drops by about 10%, it will be liquidated. Coinglass collects data from major exchanges and displays the liquidation density by price in the form of a heatmap.
It's hard to get to 2000, bro. Unless there's bad news from the flashdump. Below 3000 is still difficult.
Quoted content has been removed
📈 THE PHENOMENON OF SHORT SQUEEZE – 'THE DEADLY SPIKE' WHEN THE MARKET GOES AGAINST YOU
Short squeeze is one of the most interesting and dangerous phenomena in trading – where short sellers are forced by the market to buy back at high prices, causing prices to spike sharply in a short time. For newcomers, understanding this mechanism will help you avoid losses and seize the opportunity to 'surf against the tide' at the right moment.
🔹 1. What is a short squeeze?
When many traders open short positions, they expect the price to drop to buy back lower. But if the price unexpectedly reverses and rises sharply, these traders are forced to buy back to cut losses, creating a domino effect – the more people are 'forced to buy', the higher the price soars.
🔹 1. What is a short squeeze?
When many traders open short positions, they expect the price to drop to buy back lower. But if the price unexpectedly reverses and rises sharply, these traders are forced to buy back to cut losses, creating a domino effect – the more people are 'forced to buy', the higher the price soars.
😁
SOL is ready to accompany BTC in the new rally The range of 255–273 USD is waiting to be filled
Liquidity data from CoinGlass shows that Solana (SOL) is accumulating around the range of 182 – 194 USD, after a strong adjustment from the peak near 253 USD.
Notably, on the liquidity map, there is a dense cluster of orders in the range of 255 – 273 USD, considered as the 'high liquidity zone not yet swept' – where prices tend to return for a check when the market regains upward momentum.
💹 Technically, the range of 182 – 174 USD is playing a role as short-term support with high trading volume, indicating potential buying power absorbing the remaining supply after the adjustment period.
Notably, on the liquidity map, there is a dense cluster of orders in the range of 255 – 273 USD, considered as the 'high liquidity zone not yet swept' – where prices tend to return for a check when the market regains upward momentum.
💹 Technically, the range of 182 – 174 USD is playing a role as short-term support with high trading volume, indicating potential buying power absorbing the remaining supply after the adjustment period.
SOL is ready to accompany BTC in the new rally The range of 255–273 USD is waiting to be filled
Liquidity data from CoinGlass shows that Solana (SOL) is accumulating around the range of 182 – 194 USD, after a strong adjustment from the peak near 253 USD.
Notably, on the liquidity map, there is a dense cluster of orders in the range of 255 – 273 USD, considered as the 'high liquidity zone not yet swept' – where prices tend to return for a check when the market regains upward momentum.
💹 Technically, the range of 182 – 174 USD is playing a role as short-term support with high trading volume, indicating potential buying power absorbing the remaining supply after the adjustment period.
Notably, on the liquidity map, there is a dense cluster of orders in the range of 255 – 273 USD, considered as the 'high liquidity zone not yet swept' – where prices tend to return for a check when the market regains upward momentum.
💹 Technically, the range of 182 – 174 USD is playing a role as short-term support with high trading volume, indicating potential buying power absorbing the remaining supply after the adjustment period.
Area 115k becomes a liquidity hotspot. If there is strong capital flow, the 155k area could be the next target.
Data from CoinGlass shows that the liquidity area is heavily concentrated around the price range of 114.891 – 120.911 USD, creating a large liquidity gap that has yet to be filled.
In BTC's price history, such liquidity gaps often act like price magnets — when the market tends to return to test or fill them before forming the next major trend.
📈 Technically, the most recent weekly candle shows buying pressure appearing around the support area of 98.637 – 103.453 USD, where there is heavy trading volume and is considered a strong absorption zone for selling pressure.
In BTC's price history, such liquidity gaps often act like price magnets — when the market tends to return to test or fill them before forming the next major trend.
📈 Technically, the most recent weekly candle shows buying pressure appearing around the support area of 98.637 – 103.453 USD, where there is heavy trading volume and is considered a strong absorption zone for selling pressure.
ANALYSIS OF THE M1 MONEY SUPPLY CYCLE OF THE UNITED STATES AND ITS IMPACT ON GOLD & BITCOIN – THE SECRET OF GLOBAL CASH FLOW
In the world of finance, the M1 money supply of the United States (which includes circulating cash and demand deposits) is a core indicator reflecting the degree of 'injecting or withdrawing money' in the economy. For new traders, understanding the M1 cycle is akin to grasping the 'blood flow of liquidity' – a factor that influences the prices of gold and Bitcoin, the two largest safe-haven assets in the world.
🔹 1. What is M1 and why is it important?
M1 represents the amount of money readily available for spending or investment in the economy.
🔹 1. What is M1 and why is it important?
M1 represents the amount of money readily available for spending or investment in the economy.
TECHNICAL INDICATOR ANALYSIS: MACD, Stoch RSI, Volume, and MA (50;200)
Technical analysis helps traders understand price behavior through charts to identify trends and entry points. The four most basic and effective indicators are MACD, Stoch RSI, Volume, and MA (50;200).
1. MACD (Moving Average Convergence Divergence):
Used to identify trends and momentum. When MACD crosses above Signal → buy signal; crosses below → sell signal. An expanding histogram indicates strong momentum, while a contracting one signals a potential reversal. MACD reacts slowly, suitable for the 4H–1D timeframe.
1. MACD (Moving Average Convergence Divergence):
Used to identify trends and momentum. When MACD crosses above Signal → buy signal; crosses below → sell signal. An expanding histogram indicates strong momentum, while a contracting one signals a potential reversal. MACD reacts slowly, suitable for the 4H–1D timeframe.
Login to explore more contents