INDICATOR PLAN
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Frequent Trader
4.4 Years
https://indikay.com/r/INDIKAYMEN
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I read on X about a discussion regarding Kols sharing a short position image (short selling) of OM but the PNL is larger than the volume.
This relates to understanding the nature of short orders (short selling) and how to calculate profit and loss relative to the volume of the order. I will explain in detail and include real examples on Binance for easier understanding:
⸻
1. Concept: Short Volume and Profit
• Volume when shorting (called notional value) is the total value of the assets you sell.
• Profit when shorting comes from buying back the asset at a lower price than the original selling price.
• Because the asset cannot decrease below 0, the profit when shorting is always limited, less than the volume of the order, and the maximum profit = volume if the price goes to 0.
⸻
2. Specific example of shorting crypto on Binance
Suppose you are shorting BTCUSDT.
INFORMATION:
• Current BTC price: 100,000 USDT
• You use 1,000 USDT as margin, leverage x10
=> Volume of the order = 10,000 USDT, meaning you are borrowing 10k USDT to sell BTC at the price of 100k.
SUCCESSFUL SHORT SCENARIO:
• BTC drops from 100,000 → 90,000
• You close the position (buy back) at the price of 90,000
• Difference: 10,000 USDT x 10% = profit of 1,000 USDT
=> So your profit is 1,000 USDT, which is equal to 100% of the margin capital, but only equal to 10% of the order volume.
Maximum profit if BTC goes to 0:
• You will profit the entire 10,000 USDT (because you sold 10k, bought back at the price of 0)
• However, even if BTC goes to 0, you can only profit a maximum of 10,000 USDT, which is equal to the volume, and cannot exceed that.
⸻
3. Conclusion
• Profit from short orders is always ≤ volume.
• In reality, profit is always less than volume, because the asset does not go to 0 and you usually exit the position beforehand.
• Conversely, if the price increases, you can lose more than the margin capital (account depletion) depending on the leverage.
This relates to understanding the nature of short orders (short selling) and how to calculate profit and loss relative to the volume of the order. I will explain in detail and include real examples on Binance for easier understanding:
⸻
1. Concept: Short Volume and Profit
• Volume when shorting (called notional value) is the total value of the assets you sell.
• Profit when shorting comes from buying back the asset at a lower price than the original selling price.
• Because the asset cannot decrease below 0, the profit when shorting is always limited, less than the volume of the order, and the maximum profit = volume if the price goes to 0.
⸻
2. Specific example of shorting crypto on Binance
Suppose you are shorting BTCUSDT.
INFORMATION:
• Current BTC price: 100,000 USDT
• You use 1,000 USDT as margin, leverage x10
=> Volume of the order = 10,000 USDT, meaning you are borrowing 10k USDT to sell BTC at the price of 100k.
SUCCESSFUL SHORT SCENARIO:
• BTC drops from 100,000 → 90,000
• You close the position (buy back) at the price of 90,000
• Difference: 10,000 USDT x 10% = profit of 1,000 USDT
=> So your profit is 1,000 USDT, which is equal to 100% of the margin capital, but only equal to 10% of the order volume.
Maximum profit if BTC goes to 0:
• You will profit the entire 10,000 USDT (because you sold 10k, bought back at the price of 0)
• However, even if BTC goes to 0, you can only profit a maximum of 10,000 USDT, which is equal to the volume, and cannot exceed that.
⸻
3. Conclusion
• Profit from short orders is always ≤ volume.
• In reality, profit is always less than volume, because the asset does not go to 0 and you usually exit the position beforehand.
• Conversely, if the price increases, you can lose more than the margin capital (account depletion) depending on the leverage.
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This is my order, Vol 30k, with leverage x3, so the capital is about 10k. The current pnl is 27k divided by the capital, which is nearly x3 times the capital, so the % return on investment is around 300%, you all calculate similarly with the main topic post to determine if it's fake or real.
$OM Something is not right
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#IndicatorPlan #btc #dump
Currently, in the short term H4 and the medium term in frame D are both in a down wave, W is still in its up wave starting from October 16, 2023 until now according to signals from INDIKAY,
However, if the short + medium term down wave continues, the W frame will give a DOWN signal for the next down wave.
In the next 30 days, if BTC closes any candle in the 56-57k area, it will be ruined, guys.
Or if we close the weekly candlestick with a market capitalization of less than $2,000 billion, it's a loss.
Don't miss INDIKAY's signals and get ready for the next fluctuations.
$BTC
Currently, in the short term H4 and the medium term in frame D are both in a down wave, W is still in its up wave starting from October 16, 2023 until now according to signals from INDIKAY,
However, if the short + medium term down wave continues, the W frame will give a DOWN signal for the next down wave.
In the next 30 days, if BTC closes any candle in the 56-57k area, it will be ruined, guys.
Or if we close the weekly candlestick with a market capitalization of less than $2,000 billion, it's a loss.
Don't miss INDIKAY's signals and get ready for the next fluctuations.
$BTC
#IndicatorPlan #Bitcoin #Dump
Currently, in the short term H4 and medium term on the D frame are both in a downtrend, while the W frame is still in its uptrend since 10/16/2023 according to signals from INDIKAY.
However, if the short + medium term downtrends continue, it will likely trigger DOWN signals on the W frame for the next downtrend wave.
In the next 30 days, if BTC closes any weekly candle in the 56-57k range, it's trouble, folks, Or if it closes a weekly candle with a market cap below $2 trillion, it's also trouble.
Don't miss out on INDIKAY's signals and be prepared for the next fluctuations.
$BTC
Currently, in the short term H4 and medium term on the D frame are both in a downtrend, while the W frame is still in its uptrend since 10/16/2023 according to signals from INDIKAY.
However, if the short + medium term downtrends continue, it will likely trigger DOWN signals on the W frame for the next downtrend wave.
In the next 30 days, if BTC closes any weekly candle in the 56-57k range, it's trouble, folks, Or if it closes a weekly candle with a market cap below $2 trillion, it's also trouble.
Don't miss out on INDIKAY's signals and be prepared for the next fluctuations.
$BTC
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January 23, 2024
Morning guys, based on the signals INDIKAY frame D, there has been Down since the 13th. If you take profit at the right Down place, you can sell at 45k already. If you don't follow the rules, the time will be negative. 13% from signals.
If you open a SHORT position at the Down signal, you will now profit nearly 13% for the Short position!#indikay#ai #Signal #bot
Morning guys, based on the signals INDIKAY frame D, there has been Down since the 13th. If you take profit at the right Down place, you can sell at 45k already. If you don't follow the rules, the time will be negative. 13% from signals.
If you open a SHORT position at the Down signal, you will now profit nearly 13% for the Short position!#indikay#ai #Signal #bot
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BTC and upcoming developments based on price action.
ANNOUNCEMENT., BTC at the end of November, if the candle closes above 38K, please inform Uptrend guys, this frame is W, M, large frame, to have enough momentum like this, money has already started to be pumped in. BUT If it does not exceed 38K at the close of the candle at the end of November, it is likely that you will be liquidity for market makers. So please follow my page so I can update more frequently based on fluctuations in price action. This is not investment advice, please note!
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ANNOUNCEMENT., BTC at the end of November, if the candle closes above 38K, please inform Uptrend guys, this frame is W, M, large frame, to have enough momentum like this, money has already started to be pumped in. BUT If it does not exceed 38K at the close of the candle at the end of November, it is likely that you will be liquidity for market makers. So please follow my page so I can update more frequently based on fluctuations in price action. This is not investment advice, please note!
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🔥🔥🔥 Risk management formula from Associate Professor, PhD. Vo Dinh Tri, fellow traders, please read more in the article.
Risk management formula from Associate Professor, PhD. Vo Dinh Tri is very valuable for traders.
There are two quite important indicators: position size and expected value.1. Position size means the maximum amount of money to place an order. This depends on the highest level of risk tolerance, which is how much % you can lose per trade. For example, if you take 100 million to trade and bear a maximum loss of 2%, the risk is 2 million. Then divide this amount by the stop loss percentage to get the position size. For example, if the stop is 10%, the position size will be 2 million/10% = 20 million. So if you are unlucky, place an order of 20 million, stop loss of 10%, you will lose exactly 2 million, which is the acceptable risk level for that trade. If you stop loss is 20%, then position size will be 2 million/20% = 10 million. Unfortunately, I hit a stop loss of 20% and lost exactly 2 million, exactly as planned.2. Expected value: Expectation = (probability of winning x level of winning) - (probability of losing x level of losing). For example, the probability of winning is 40%, the average winning level is 20%, the average losing level is 10% (with stop loss), position size is 20 million, the expected effect will be: (40% x 4 million) - (60% x 2 million) = 0.4 million (2%) or (40% x 20%) - (60 % x 10%) = 2% Note that this is 2% on position size 20 million, with 2% risk and 10% stop loss of total capital of 100 million. This is an optimistic assumption, what method do you traders often use and If there is a better way, please share in the comments!
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Risk management formula from Associate Professor, PhD. Vo Dinh Tri is very valuable for traders.
There are two quite important indicators: position size and expected value.1. Position size means the maximum amount of money to place an order. This depends on the highest level of risk tolerance, which is how much % you can lose per trade. For example, if you take 100 million to trade and bear a maximum loss of 2%, the risk is 2 million. Then divide this amount by the stop loss percentage to get the position size. For example, if the stop is 10%, the position size will be 2 million/10% = 20 million. So if you are unlucky, place an order of 20 million, stop loss of 10%, you will lose exactly 2 million, which is the acceptable risk level for that trade. If you stop loss is 20%, then position size will be 2 million/20% = 10 million. Unfortunately, I hit a stop loss of 20% and lost exactly 2 million, exactly as planned.2. Expected value: Expectation = (probability of winning x level of winning) - (probability of losing x level of losing). For example, the probability of winning is 40%, the average winning level is 20%, the average losing level is 10% (with stop loss), position size is 20 million, the expected effect will be: (40% x 4 million) - (60% x 2 million) = 0.4 million (2%) or (40% x 20%) - (60 % x 10%) = 2% Note that this is 2% on position size 20 million, with 2% risk and 10% stop loss of total capital of 100 million. This is an optimistic assumption, what method do you traders often use and If there is a better way, please share in the comments!
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It has long been assumed that Bitcoin's four-year cycle is intrinsically linked to Halving events when block rewards are cut. However, another theory has emerged that suggests this may not be entirely true. Please continue reading...
Bitcoin's 4-year cycle may not be related to the Halving event
It has long been assumed that Bitcoin's four-year cycle is intrinsically linked to Halving events when block rewards are cut. However, another theory has emerged that suggests this may not be entirely the case.
The previous three major market cycles for Bitcoin and cryptocurrencies occurred fairly regularly around every four years, then peaked the year after the Halving.
The previous three major market cycles for Bitcoin and cryptocurrencies occurred fairly regularly around every four years, then peaked the year after the Halving.
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Bitcoin's 4-year cycle may not be related to the Halving event
It has long been assumed that Bitcoin's four-year cycle is intrinsically linked to Halving events when block rewards are cut. However, another theory has emerged that suggests this may not be entirely the case.
The previous three major market cycles for Bitcoin and cryptocurrencies occurred fairly regularly around every four years, then peaked the year after the Halving.
The previous three major market cycles for Bitcoin and cryptocurrencies occurred fairly regularly around every four years, then peaked the year after the Halving.
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Bitcoin Dominance exceeds 51%, many Altcoins signal $BTC correction
Bitcoin Dominance exceeds 51%, a series of Altcoins signal correction
It is predicted that Altcoin capitalization may soon fall to 495 billion USD while BTC.D sets a new high. The Crypto market entered the second week of October with signs of Bitcoin Dominance (BTC.D) returning to the high of the previous quarter. Besides, a series of Altcoins are showing that they may have a strong correction in October. It is predicted that Bitcoin Dominance (BTC.D) may set a new peak at the end of October. BTC.D increasing in October will not be a very positive sign. for Altcoins in the context of market capitalization showing signs of correction. Today, BTC.D continues to increase and has surpassed 51%.
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Please read the new article $BTC
Technical analysis of GOLD and what path for Bitcoin?
Someone asked about the gold view. I'm looking at the chart so I can do some economic analysis for you. Gold's market capitalization is too large at 12,187 billion dollars, so it's unlikely that it will increase by a large percentage at this time. Large capitalization as at present. In the short term, there are signs of increasing again, but the risk of reversal is very high and increases at most by a few percent. Looking at the longer term view, the D and W frames are in a downtrend. Overall, too. Gold's long-term trajectory still has growth. From a personal perspective, gold is a channel for storing assets. If considered an investment channel, there are many other better financial products. You see in the picture below, gold achieves peak of 2012, now in 2023, 10 years later, it will reach the old peak of 2012, so those who have kept gold for the past 10 years have not made a profit.
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Technical analysis of GOLD and what path for Bitcoin?
Someone asked about the gold view. I'm looking at the chart so I can do some economic analysis for you. Gold's market capitalization is too large at 12,187 billion dollars, so it's unlikely that it will increase by a large percentage at this time. Large capitalization as at present. In the short term, there are signs of increasing again, but the risk of reversal is very high and increases at most by a few percent. Looking at the longer term view, the D and W frames are in a downtrend. Overall, too. Gold's long-term trajectory still has growth. From a personal perspective, gold is a channel for storing assets. If considered an investment channel, there are many other better financial products. You see in the picture below, gold achieves peak of 2012, now in 2023, 10 years later, it will reach the old peak of 2012, so those who have kept gold for the past 10 years have not made a profit.
See original
Bitcoin Dominance exceeds 51%, a series of Altcoins signal correction
It is predicted that Altcoin capitalization may soon fall to 495 billion USD while BTC.D sets a new high. The Crypto market entered the second week of October with signs of Bitcoin Dominance (BTC.D) returning to the high of the previous quarter. Besides, a series of Altcoins are showing that they may have a strong correction in October. It is predicted that Bitcoin Dominance (BTC.D) may set a new peak at the end of October. BTC.D increasing in October will not be a very positive sign. for Altcoins in the context of market capitalization showing signs of correction. Today, BTC.D continues to increase and has surpassed 51%.
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