PERFORMANCE STATISTICS (27/02 - 15/03)
For ease, from signals used only buy zone, the rest is calculated based on percentage - 4% for Stop Loss and 5%-10%-15%-20% for targets (recommend you to use the same). Green cells - targets hit. Red cell - price touched SL, before going up.
π In total 63 trades (+2 open)
π° Average max profit per trade - 37% (cumulative 2345%)
β± Average max time per trade - 6.2 days (cumulative 391)
WIN RATE π―π―π―π―
94% of trades hit 5% profit
86% of trades hit 10% profit
80% of trades hit 15% profit
68% of trades hit 20% profit
100% of trades that hit 20%, grow more. Overage profit for these 43 trades is 48%. Overage wait time 6.7 days per trade.
π© Stop loss -4% hit in 19% of trades. In 75% of cases price went up with overage profit 15.5%. π‘ Avoid being stopped out by using timeout, set lower or buy back.
SUMMARY: patience is the key. Fix profits on the way up, but if the coin on hype, let it grow.
@CryptoTrades #Statistics #Review #Profit
For ease, from signals used only buy zone, the rest is calculated based on percentage - 4% for Stop Loss and 5%-10%-15%-20% for targets (recommend you to use the same). Green cells - targets hit. Red cell - price touched SL, before going up.
π In total 63 trades (+2 open)
π° Average max profit per trade - 37% (cumulative 2345%)
β± Average max time per trade - 6.2 days (cumulative 391)
WIN RATE π―π―π―π―
94% of trades hit 5% profit
86% of trades hit 10% profit
80% of trades hit 15% profit
68% of trades hit 20% profit
100% of trades that hit 20%, grow more. Overage profit for these 43 trades is 48%. Overage wait time 6.7 days per trade.
π© Stop loss -4% hit in 19% of trades. In 75% of cases price went up with overage profit 15.5%. π‘ Avoid being stopped out by using timeout, set lower or buy back.
SUMMARY: patience is the key. Fix profits on the way up, but if the coin on hype, let it grow.
@CryptoTrades #Statistics #Review #Profit
SIGNALS & VOLATILITY ANALYSIS (27/02 - 31/03)
Below statistics are based on posted buy zone and fixed percentage targets. Goal is to show general market volatility and forecast success rate.
π In total 116 trades
π° Average profit per trade - 40% (total 4690%)
π° Average dip price profit per trade - 47% (total 5418%)
β± Average time per trade β 8.5 days (total 984)
WIN RATE π―π―π―π―
96.6% of signals hit 5% profit
89.7% of signals hit 10% profit
78.4% of signals hit 15% profit
69% of signals got over 20%, with overage profit 53.6%
π© Stop loss -5% hit in 26% of trades. In 99% price returned to entry level and went higher with average profit 34%.
π Buy Zone: on average price dipped ~3.8% below given buy zone. Thus for future I will give deeper buy zones β that will improve profits as well as guarantee lossless exit from broken trade setups.
Comment: Results are amazing and HODL idea seems so appealing with these stats, but remember it was alts market in March. Bitcoin dumped them all as soon as started moving in April. Stop loss is still very important; the only question is how to use it.
Clarification for attached stats spreadsheet:
"Buy price" β based on signal buy zone.
βLowest priceβ is where it dipped, before going up within trade period (marked if dipped lower SL)
"SL" β fixed percentage -5% from buy zone
βTargetsβ - fixed percentage from buy zone β 5%, 10%, 15% and 20%.
βProfitβ β distance from buy zone to highest price
βDip price profitβ β that is what all other channels show you as profit β % from dip price to highest price
"Green cells" mean price got above that level.
Public link to spreadsheet - https://docs.google.com/spreadsheets/d/1pjMU_3kVV_VKLcsr_yNdxZG5sQ7YOyyOCpOHsfb4CUc/edit?usp=sharing
@CryptoTrades #Statistics #Review #Profit
Below statistics are based on posted buy zone and fixed percentage targets. Goal is to show general market volatility and forecast success rate.
π In total 116 trades
π° Average profit per trade - 40% (total 4690%)
π° Average dip price profit per trade - 47% (total 5418%)
β± Average time per trade β 8.5 days (total 984)
WIN RATE π―π―π―π―
96.6% of signals hit 5% profit
89.7% of signals hit 10% profit
78.4% of signals hit 15% profit
69% of signals got over 20%, with overage profit 53.6%
π© Stop loss -5% hit in 26% of trades. In 99% price returned to entry level and went higher with average profit 34%.
π Buy Zone: on average price dipped ~3.8% below given buy zone. Thus for future I will give deeper buy zones β that will improve profits as well as guarantee lossless exit from broken trade setups.
Comment: Results are amazing and HODL idea seems so appealing with these stats, but remember it was alts market in March. Bitcoin dumped them all as soon as started moving in April. Stop loss is still very important; the only question is how to use it.
Clarification for attached stats spreadsheet:
"Buy price" β based on signal buy zone.
βLowest priceβ is where it dipped, before going up within trade period (marked if dipped lower SL)
"SL" β fixed percentage -5% from buy zone
βTargetsβ - fixed percentage from buy zone β 5%, 10%, 15% and 20%.
βProfitβ β distance from buy zone to highest price
βDip price profitβ β that is what all other channels show you as profit β % from dip price to highest price
"Green cells" mean price got above that level.
Public link to spreadsheet - https://docs.google.com/spreadsheets/d/1pjMU_3kVV_VKLcsr_yNdxZG5sQ7YOyyOCpOHsfb4CUc/edit?usp=sharing
@CryptoTrades #Statistics #Review #Profit
Google Docs
March statistics
Sheet1
Date open,Coin,Buy Price,Lowest price,Lowest price,SL 5%,5%,10%,15%,20%,Highest,Profit,Dip price profit,Last HH,Trade time,Status
27.02.2019,AION,281,28.02.2019,281,266,295,305,320,335,394,40%,40%,13.03.2019,14,closed
27.02.2019,WABI,3803,27.02.2019β¦
Date open,Coin,Buy Price,Lowest price,Lowest price,SL 5%,5%,10%,15%,20%,Highest,Profit,Dip price profit,Last HH,Trade time,Status
27.02.2019,AION,281,28.02.2019,281,266,295,305,320,335,394,40%,40%,13.03.2019,14,closed
27.02.2019,WABI,3803,27.02.2019β¦
Crypto Trades
SIGNALS & VOLATILITY ANALYSIS (27/02 - 31/03) Below statistics are based on posted buy zone and fixed percentage targets. Goal is to show general market volatility and forecast success rate. π In total 116 trades π° Average profit per trade - 40% (totalβ¦
SIGNALS & VOLATILITY ANALYSIS (01/05 - 31/05)
Below statistics are based on posted buy zone and fixed percentage targets. Goal is to show general market volatility and forecast success rate.
π In total 110 trades
π° Average profit per trade - 33% (total 3626%)
π° Average dip price profit per trade - 35% (total 3826%)
β± Average time per trade β 2.7 days (total 301)
WIN RATE π―π―π―π―
92.7% of signals hit 5% profit
74.5% of signals hit 10% profit
61.8% of signals hit 15% profit
45.5% of signals got over 20%, with overage profit 63.11%
π© Stop loss -5% hit in 23.6% of trades. In 99% price returned to entry level and went higher with average profit 33%.
π Buy Zone: on average price dipped ~7.7% below given buy zone. Volatility was huge this month. Thus we are switching trading strategy to lossless - instead of putting SLs we will buy more at lower support and sell at initial buy zone. No losses, only profits ahead π
@CryptoTrades #Statistics #Review #Profit
Below statistics are based on posted buy zone and fixed percentage targets. Goal is to show general market volatility and forecast success rate.
π In total 110 trades
π° Average profit per trade - 33% (total 3626%)
π° Average dip price profit per trade - 35% (total 3826%)
β± Average time per trade β 2.7 days (total 301)
WIN RATE π―π―π―π―
92.7% of signals hit 5% profit
74.5% of signals hit 10% profit
61.8% of signals hit 15% profit
45.5% of signals got over 20%, with overage profit 63.11%
π© Stop loss -5% hit in 23.6% of trades. In 99% price returned to entry level and went higher with average profit 33%.
π Buy Zone: on average price dipped ~7.7% below given buy zone. Volatility was huge this month. Thus we are switching trading strategy to lossless - instead of putting SLs we will buy more at lower support and sell at initial buy zone. No losses, only profits ahead π
@CryptoTrades #Statistics #Review #Profit