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Ā·
--
HARI 1 - 5.063 USDT ke 1.000.000 USDT
Saldo: 5.063,23 USDT
Perubahan: +0,00 USDT (+0,0%)
Pelari berhenti saat saya menyusun ulang strategi berdasarkan bukti dari backtest. Tidak ada yang terbuka.
Jalankan di akun testnet Binance, jadi ini modal demoāsaya lebih memilih mengatakan itu daripada membiarkan Anda menganggap sebaliknya. Strateginya, biayanya, dan kerugiannya semuanya nyata.
Tidak ada sinyal untuk dijual, tidak ada kursus, tidak ada tautan afiliasi. Hanya akun dan data di baliknya.
Ditransaksikan dalam tantangan ini: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
HARI 1 - 5.063 USDT ke 1.000.000 USDT
Saldo: 5.063,23 USDT
Perubahan: +0,00 USDT (+0,0%)
Pelari berhenti saat saya menyusun ulang strategi berdasarkan bukti dari backtest. Tidak ada yang terbuka.
Jalankan di akun testnet Binance, jadi ini modal demoāsaya lebih memilih mengatakan itu daripada membiarkan Anda menganggap sebaliknya. Strateginya, biayanya, dan kerugiannya semuanya nyata.
Tidak ada sinyal untuk dijual, tidak ada kursus, tidak ada tautan afiliasi. Hanya akun dan data di baliknya.
Ditransaksikan dalam tantangan ini: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
Saldo: 5.063,23 USDT
Perubahan: +0,00 USDT (+0,0%)
Pelari berhenti saat saya menyusun ulang strategi berdasarkan bukti dari backtest. Tidak ada yang terbuka.
Jalankan di akun testnet Binance, jadi ini modal demoāsaya lebih memilih mengatakan itu daripada membiarkan Anda menganggap sebaliknya. Strateginya, biayanya, dan kerugiannya semuanya nyata.
Tidak ada sinyal untuk dijual, tidak ada kursus, tidak ada tautan afiliasi. Hanya akun dan data di baliknya.
Ditransaksikan dalam tantangan ini: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
7
Ā·
--
Lihat terjemahan
HOW I TESTED IT
Two signal families, four timeframes, EMA and SMA, with and without a trend filter, long-only and short-only. 378 combinations in total, all with real fees and real measured slippage applied.
The round-trip cost of a trade is 0.240% of position size. The average result per trade, across every single configuration, landed between -0.361% and -0.401%.
That is the cost, and nothing else.
THE NUMBERS
Round-trip cost: 0.240%
Avg result, 15m setups: -0.361%
Avg result, 1h setups: -0.401%
Configurations profitable: 0 of 378
If a signal carried any directional information at all, the results would vary between configurations. Some would beat the cost line. None did. That is not weak edge that needs tuning - it is zero edge being charged an entry fee.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
HOW I TESTED IT
Two signal families, four timeframes, EMA and SMA, with and without a trend filter, long-only and short-only. 378 combinations in total, all with real fees and real measured slippage applied.
The round-trip cost of a trade is 0.240% of position size. The average result per trade, across every single configuration, landed between -0.361% and -0.401%.
That is the cost, and nothing else.
THE NUMBERS
Round-trip cost: 0.240%
Avg result, 15m setups: -0.361%
Avg result, 1h setups: -0.401%
Configurations profitable: 0 of 378
If a signal carried any directional information at all, the results would vary between configurations. Some would beat the cost line. None did. That is not weak edge that needs tuning - it is zero edge being charged an entry fee.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
Two signal families, four timeframes, EMA and SMA, with and without a trend filter, long-only and short-only. 378 combinations in total, all with real fees and real measured slippage applied.
The round-trip cost of a trade is 0.240% of position size. The average result per trade, across every single configuration, landed between -0.361% and -0.401%.
That is the cost, and nothing else.
THE NUMBERS
Round-trip cost: 0.240%
Avg result, 15m setups: -0.361%
Avg result, 1h setups: -0.401%
Configurations profitable: 0 of 378
If a signal carried any directional information at all, the results would vary between configurations. Some would beat the cost line. None did. That is not weak edge that needs tuning - it is zero edge being charged an entry fee.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
5
Ā·
--
Artikel
OGN naik +94.75% - Saya menguji dua cara untuk memeranginyaPEMENANG TERATAS HARI INI
OGN: +94.75%
MET: +43.38%
CTSI: +35.36%
STRK: +20.75%
SKL: +19.59%
Setiap akun di aplikasi ini akan menampilkan daftar ini untuk Anda. Ini bagian yang mereka lewati.
Saya menguji ulang dua cara untuk trading pergerakan seperti OGN +94.75%: membeli breakout, dan melawannya dengan asumsi pergerakan itu akan berbalik. Keduanya mengalami kerugian. Tidak tipisāmereka rugi kira-kira sebesar biaya transaksi, yaitu 0,240% per putaran transaksi, yang terlihat seperti sinyal tanpa informasi setelah Anda mengenakan biaya.
Pergerakan besar dalam 24 jam memberi tahu Anda sesuatu yang sudah terjadi. Itu tidak memberi tahu Anda apa yang terjadi selanjutnya, dan data menunjukkan hal itu di kedua arah.
OGN naik +94.75% - Saya menguji dua cara untuk memeranginya
PEMENANG TERATAS HARI INI
OGN: +94.75%
MET: +43.38%
CTSI: +35.36%
STRK: +20.75%
SKL: +19.59%
Setiap akun di aplikasi ini akan menampilkan daftar ini untuk Anda. Ini bagian yang mereka lewati.
Saya menguji ulang dua cara untuk trading pergerakan seperti OGN +94.75%: membeli breakout, dan melawannya dengan asumsi pergerakan itu akan berbalik. Keduanya mengalami kerugian. Tidak tipisāmereka rugi kira-kira sebesar biaya transaksi, yaitu 0,240% per putaran transaksi, yang terlihat seperti sinyal tanpa informasi setelah Anda mengenakan biaya.
Pergerakan besar dalam 24 jam memberi tahu Anda sesuatu yang sudah terjadi. Itu tidak memberi tahu Anda apa yang terjadi selanjutnya, dan data menunjukkan hal itu di kedua arah.
OGN: +94.75%
MET: +43.38%
CTSI: +35.36%
STRK: +20.75%
SKL: +19.59%
Setiap akun di aplikasi ini akan menampilkan daftar ini untuk Anda. Ini bagian yang mereka lewati.
Saya menguji ulang dua cara untuk trading pergerakan seperti OGN +94.75%: membeli breakout, dan melawannya dengan asumsi pergerakan itu akan berbalik. Keduanya mengalami kerugian. Tidak tipisāmereka rugi kira-kira sebesar biaya transaksi, yaitu 0,240% per putaran transaksi, yang terlihat seperti sinyal tanpa informasi setelah Anda mengenakan biaya.
Pergerakan besar dalam 24 jam memberi tahu Anda sesuatu yang sudah terjadi. Itu tidak memberi tahu Anda apa yang terjadi selanjutnya, dan data menunjukkan hal itu di kedua arah.
7
Ā·
--
Lihat terjemahan
HOW I TESTED IT
Collecting funding on perpetuals is sold as passive yield. I pulled 34,431 funding events across 7 symbols and measured it.
Average funding is 0.0024% per 8-hour period. On a 150 USDT position that is 0.0036 USDT. A round trip costs 0.36 USDT - you would hold for 33 days just to cover entry and exit.
Meanwhile the price moves 2.36% in a typical 8 hours.
THE NUMBERS
Mean funding per 8h: 0.0024%
Annualised: 2.6%
8h price volatility: 2.36%
Periods to cover costs: 100
The income is real but tiny, and the price risk you take to earn it is roughly a thousand times larger. This is why desks that trade it hedge with spot. Unhedged, it is not income - it is a directional bet with a rebate.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BTC $ETH $SOL
#Binance #Futures #Backtesting #TradingBot #CryptoData
HOW I TESTED IT
Collecting funding on perpetuals is sold as passive yield. I pulled 34,431 funding events across 7 symbols and measured it.
Average funding is 0.0024% per 8-hour period. On a 150 USDT position that is 0.0036 USDT. A round trip costs 0.36 USDT - you would hold for 33 days just to cover entry and exit.
Meanwhile the price moves 2.36% in a typical 8 hours.
THE NUMBERS
Mean funding per 8h: 0.0024%
Annualised: 2.6%
8h price volatility: 2.36%
Periods to cover costs: 100
The income is real but tiny, and the price risk you take to earn it is roughly a thousand times larger. This is why desks that trade it hedge with spot. Unhedged, it is not income - it is a directional bet with a rebate.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BTC $ETH $SOL
#Binance #Futures #Backtesting #TradingBot #CryptoData
Collecting funding on perpetuals is sold as passive yield. I pulled 34,431 funding events across 7 symbols and measured it.
Average funding is 0.0024% per 8-hour period. On a 150 USDT position that is 0.0036 USDT. A round trip costs 0.36 USDT - you would hold for 33 days just to cover entry and exit.
Meanwhile the price moves 2.36% in a typical 8 hours.
THE NUMBERS
Mean funding per 8h: 0.0024%
Annualised: 2.6%
8h price volatility: 2.36%
Periods to cover costs: 100
The income is real but tiny, and the price risk you take to earn it is roughly a thousand times larger. This is why desks that trade it hedge with spot. Unhedged, it is not income - it is a directional bet with a rebate.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BTC $ETH $SOL
#Binance #Futures #Backtesting #TradingBot #CryptoData
2
Ā·
--
HARI 1 - 5,063 USDT menjadi 1,000,000 USDT
Saldo: 5,063.23 USDT
Perubahan: +0.00 USDT (+0.0%)
Runner dihentikan sementara saya menyusun ulang strategi berdasarkan bukti backtest. Tidak ada posisi terbuka.
Berjalan di akun testnet Binance, jadi ini adalah modal demoāsaya lebih baik menyatakannya daripada membiarkan Anda berasumsi sebaliknya. Strategi, biaya, dan kerugiannya semuanya nyata.
Tidak ada sinyal untuk dijual, tidak ada kursus, tidak ada tautan afiliasi. Hanya akun dan data di baliknya.
Diperdagangkan dalam tantangan ini: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
HARI 1 - 5,063 USDT menjadi 1,000,000 USDT
Saldo: 5,063.23 USDT
Perubahan: +0.00 USDT (+0.0%)
Runner dihentikan sementara saya menyusun ulang strategi berdasarkan bukti backtest. Tidak ada posisi terbuka.
Berjalan di akun testnet Binance, jadi ini adalah modal demoāsaya lebih baik menyatakannya daripada membiarkan Anda berasumsi sebaliknya. Strategi, biaya, dan kerugiannya semuanya nyata.
Tidak ada sinyal untuk dijual, tidak ada kursus, tidak ada tautan afiliasi. Hanya akun dan data di baliknya.
Diperdagangkan dalam tantangan ini: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
Saldo: 5,063.23 USDT
Perubahan: +0.00 USDT (+0.0%)
Runner dihentikan sementara saya menyusun ulang strategi berdasarkan bukti backtest. Tidak ada posisi terbuka.
Berjalan di akun testnet Binance, jadi ini adalah modal demoāsaya lebih baik menyatakannya daripada membiarkan Anda berasumsi sebaliknya. Strategi, biaya, dan kerugiannya semuanya nyata.
Tidak ada sinyal untuk dijual, tidak ada kursus, tidak ada tautan afiliasi. Hanya akun dan data di baliknya.
Diperdagangkan dalam tantangan ini: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
7
Ā·
--
Artikel
Lihat terjemahan
OGN is up +85.95% - I tested both ways to trade itTODAY'S TOP GAINERS
OGN: +85.95%
MET: +42.58%
WIN: +25.25%
W: +20.55%
ERA: +20.36%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like OGN's +85.95%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $OGN $MET $WIN
#Binance #Altcoins #Futures #OGN #CryptoData
OGN is up +85.95% - I tested both ways to trade it
TODAY'S TOP GAINERS
OGN: +85.95%
MET: +42.58%
WIN: +25.25%
W: +20.55%
ERA: +20.36%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like OGN's +85.95%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $OGN $MET $WIN
#Binance #Altcoins #Futures #OGN #CryptoData
OGN: +85.95%
MET: +42.58%
WIN: +25.25%
W: +20.55%
ERA: +20.36%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like OGN's +85.95%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $OGN $MET $WIN
#Binance #Altcoins #Futures #OGN #CryptoData
7
Ā·
--
Lihat terjemahan
This is genuinely different from a useless signal - there is information here. But to use it you would need to know the regime in advance, which is the same circular problem that kills everything else.
Here is what that came from.
Funding rate predicts where price goes. It just changes which direction, by year.
I sorted every funding print into quintiles and measured the forward 72-hour return of the highest versus the lowest.
In bear markets, high funding preceded WORSE returns - crowded longs getting squeezed. From 2024 onward it preceded BETTER returns - momentum.
The signal is real. The sign is not stable. Average it across all years and you get -0.08%, below the 0.240% it costs to trade.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BTC $ETH $DOGE
#Binance #Futures #Backtesting #TradingBot #CryptoData
This is genuinely different from a useless signal - there is information here. But to use it you would need to know the regime in advance, which is the same circular problem that kills everything else.
Here is what that came from.
Funding rate predicts where price goes. It just changes which direction, by year.
I sorted every funding print into quintiles and measured the forward 72-hour return of the highest versus the lowest.
In bear markets, high funding preceded WORSE returns - crowded longs getting squeezed. From 2024 onward it preceded BETTER returns - momentum.
The signal is real. The sign is not stable. Average it across all years and you get -0.08%, below the 0.240% it costs to trade.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BTC $ETH $DOGE
#Binance #Futures #Backtesting #TradingBot #CryptoData
Here is what that came from.
Funding rate predicts where price goes. It just changes which direction, by year.
I sorted every funding print into quintiles and measured the forward 72-hour return of the highest versus the lowest.
In bear markets, high funding preceded WORSE returns - crowded longs getting squeezed. From 2024 onward it preceded BETTER returns - momentum.
The signal is real. The sign is not stable. Average it across all years and you get -0.08%, below the 0.240% it costs to trade.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BTC $ETH $DOGE
#Binance #Futures #Backtesting #TradingBot #CryptoData
5
Ā·
--
Artikel
OGN naik +72.09%āsaya menguji dua cara untuk memperdagangkannyaPENGUAT TERATAS HARI INI
OGN: +72.09%
MET: +51.23%
WIN: +24.70%
STRK: +22.91%
W: +15.27%
Setiap akun di aplikasi ini akan menampilkan daftar ini kepada Anda. Inilah bagian yang mereka lewatkan.
Saya menguji ulang dengan data historis dua cara trading untuk pergerakan seperti kenaikan OGN sebesar +72.09%: membeli saat harga menembus level tertentu, dan mengambil posisi berlawanan dengan asumsi harga akan berbalik. Keduanya merugi. Bukan sedikitākerugiannya kira-kira sebesar biaya transaksi, 0.240% untuk satu kali transaksi pulang-pergi. Seperti itulah sinyal tanpa informasi yang berarti setelah dikenai biaya.
Pergerakan besar dalam 24 jam memberi tahu Anda bahwa sesuatu telah terjadi. Namun, itu tidak memberi tahu apa yang akan terjadi selanjutnyaādan data menunjukkan hal itu berlaku untuk kedua arah.
OGN naik +72.09%āsaya menguji dua cara untuk memperdagangkannya
PENGUAT TERATAS HARI INI
OGN: +72.09%
MET: +51.23%
WIN: +24.70%
STRK: +22.91%
W: +15.27%
Setiap akun di aplikasi ini akan menampilkan daftar ini kepada Anda. Inilah bagian yang mereka lewatkan.
Saya menguji ulang dengan data historis dua cara trading untuk pergerakan seperti kenaikan OGN sebesar +72.09%: membeli saat harga menembus level tertentu, dan mengambil posisi berlawanan dengan asumsi harga akan berbalik. Keduanya merugi. Bukan sedikitākerugiannya kira-kira sebesar biaya transaksi, 0.240% untuk satu kali transaksi pulang-pergi. Seperti itulah sinyal tanpa informasi yang berarti setelah dikenai biaya.
Pergerakan besar dalam 24 jam memberi tahu Anda bahwa sesuatu telah terjadi. Namun, itu tidak memberi tahu apa yang akan terjadi selanjutnyaādan data menunjukkan hal itu berlaku untuk kedua arah.
OGN: +72.09%
MET: +51.23%
WIN: +24.70%
STRK: +22.91%
W: +15.27%
Setiap akun di aplikasi ini akan menampilkan daftar ini kepada Anda. Inilah bagian yang mereka lewatkan.
Saya menguji ulang dengan data historis dua cara trading untuk pergerakan seperti kenaikan OGN sebesar +72.09%: membeli saat harga menembus level tertentu, dan mengambil posisi berlawanan dengan asumsi harga akan berbalik. Keduanya merugi. Bukan sedikitākerugiannya kira-kira sebesar biaya transaksi, 0.240% untuk satu kali transaksi pulang-pergi. Seperti itulah sinyal tanpa informasi yang berarti setelah dikenai biaya.
Pergerakan besar dalam 24 jam memberi tahu Anda bahwa sesuatu telah terjadi. Namun, itu tidak memberi tahu apa yang akan terjadi selanjutnyaādan data menunjukkan hal itu berlaku untuk kedua arah.
156
Ā·
--
Artikel
Lihat terjemahan
I tried to make the bot detect when momentum flips. It cannot be done in time.I tried to make the bot detect when momentum flips. It cannot be done in time.
Momentum inverted in 2026. The obvious fix: watch recent performance, and flip to the opposite rule when momentum stops paying.
I tested that over six different lookback windows. The best one returned +1.783% per rebalance against a +1.737% baseline - a difference indistinguishable from noise. Every other window was worse. None repaired 2026.
The reason is simple: by the time trailing performance tells you the regime flipped, you have already taken the losses that told you.
WHAT IT MEANS
Adaptive rules feel like the answer to regime change. They are usually just a slower version of the same bet, with the losses already paid for the signal.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $SOL $BTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
I tried to make the bot detect when momentum flips. It cannot be done in time.
I tried to make the bot detect when momentum flips. It cannot be done in time.
Momentum inverted in 2026. The obvious fix: watch recent performance, and flip to the opposite rule when momentum stops paying.
I tested that over six different lookback windows. The best one returned +1.783% per rebalance against a +1.737% baseline - a difference indistinguishable from noise. Every other window was worse. None repaired 2026.
The reason is simple: by the time trailing performance tells you the regime flipped, you have already taken the losses that told you.
WHAT IT MEANS
Adaptive rules feel like the answer to regime change. They are usually just a slower version of the same bet, with the losses already paid for the signal.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $SOL $BTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
Momentum inverted in 2026. The obvious fix: watch recent performance, and flip to the opposite rule when momentum stops paying.
I tested that over six different lookback windows. The best one returned +1.783% per rebalance against a +1.737% baseline - a difference indistinguishable from noise. Every other window was worse. None repaired 2026.
The reason is simple: by the time trailing performance tells you the regime flipped, you have already taken the losses that told you.
WHAT IT MEANS
Adaptive rules feel like the answer to regime change. They are usually just a slower version of the same bet, with the losses already paid for the signal.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $SOL $BTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
5
Ā·
--
Artikel
Lihat terjemahan
I measured real execution costs with 48 controlled trades. One number decides everything.I measured real execution costs with 48 controlled trades. One number decides everything.
I stopped assuming what trading costs and measured it: 48 controlled round trips, entering and exiting immediately, recording the actual fill against the reference price.
Fee was constant at 0.04% per side. Slippage was not - ETH filled at essentially zero, while DOGE cost 50 to 100 basis points per round trip.
On a 150 USDT position, a round trip costs 0.36 USDT before the market moves at all.
WHAT IT MEANS
Any strategy must clear 0.240% of position size per trade just to break even. Most published setups never mention this number, which is why most published setups lose money.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $ETH $DOGE
#Binance #Futures #Backtesting #TradingBot #CryptoData
I measured real execution costs with 48 controlled trades. One number decides everything.
I measured real execution costs with 48 controlled trades. One number decides everything.
I stopped assuming what trading costs and measured it: 48 controlled round trips, entering and exiting immediately, recording the actual fill against the reference price.
Fee was constant at 0.04% per side. Slippage was not - ETH filled at essentially zero, while DOGE cost 50 to 100 basis points per round trip.
On a 150 USDT position, a round trip costs 0.36 USDT before the market moves at all.
WHAT IT MEANS
Any strategy must clear 0.240% of position size per trade just to break even. Most published setups never mention this number, which is why most published setups lose money.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $ETH $DOGE
#Binance #Futures #Backtesting #TradingBot #CryptoData
I stopped assuming what trading costs and measured it: 48 controlled round trips, entering and exiting immediately, recording the actual fill against the reference price.
Fee was constant at 0.04% per side. Slippage was not - ETH filled at essentially zero, while DOGE cost 50 to 100 basis points per round trip.
On a 150 USDT position, a round trip costs 0.36 USDT before the market moves at all.
WHAT IT MEANS
Any strategy must clear 0.240% of position size per trade just to break even. Most published setups never mention this number, which is why most published setups lose money.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $ETH $DOGE
#Binance #Futures #Backtesting #TradingBot #CryptoData
4
Ā·
--
Artikel
Lihat terjemahan
MET is up +59.24% - I tested both ways to trade itTODAY'S TOP GAINERS
MET: +59.24%
OGN: +48.90%
WIN: +19.39%
ALGO: +17.77%
ERA: +17.60%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +59.24%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $OGN $WIN
#Binance #Altcoins #Futures #MET #CryptoData
MET is up +59.24% - I tested both ways to trade it
TODAY'S TOP GAINERS
MET: +59.24%
OGN: +48.90%
WIN: +19.39%
ALGO: +17.77%
ERA: +17.60%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +59.24%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $OGN $WIN
#Binance #Altcoins #Futures #MET #CryptoData
MET: +59.24%
OGN: +48.90%
WIN: +19.39%
ALGO: +17.77%
ERA: +17.60%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +59.24%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $OGN $WIN
#Binance #Altcoins #Futures #MET #CryptoData
13
Ā·
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Lihat terjemahan
24-HOUR SNAPSHOT
ETH/USDT: 2,557.18 USDT (-1.08%)
SOL/USDT: 114.60 USDT (-2.74%)
BNB/USDT: 768.97 USDT (+0.05%)
BTC/USDT: 82,791.20 USDT (-1.25%)
Funding on SOL/USDT is +0.0017% per 8h.
Context, not a call: I do not post entries or targets. Everything I trade is logged and published after the fact, wins and losses both.
Covered above: $SOL $BTC $ETH
#Binance #Crypto #Futures #BTC #Altcoins
24-HOUR SNAPSHOT
ETH/USDT: 2,557.18 USDT (-1.08%)
SOL/USDT: 114.60 USDT (-2.74%)
BNB/USDT: 768.97 USDT (+0.05%)
BTC/USDT: 82,791.20 USDT (-1.25%)
Funding on SOL/USDT is +0.0017% per 8h.
Context, not a call: I do not post entries or targets. Everything I trade is logged and published after the fact, wins and losses both.
Covered above: $SOL $BTC $ETH
#Binance #Crypto #Futures #BTC #Altcoins
ETH/USDT: 2,557.18 USDT (-1.08%)
SOL/USDT: 114.60 USDT (-2.74%)
BNB/USDT: 768.97 USDT (+0.05%)
BTC/USDT: 82,791.20 USDT (-1.25%)
Funding on SOL/USDT is +0.0017% per 8h.
Context, not a call: I do not post entries or targets. Everything I trade is logged and published after the fact, wins and losses both.
Covered above: $SOL $BTC $ETH
#Binance #Crypto #Futures #BTC #Altcoins
5
Ā·
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Artikel
Lihat terjemahan
A strategy with a 96% win rate lost me money. Win rate tells you almost nothing.A strategy with a 96% win rate lost me money. Win rate tells you almost nothing.
I backtested a martingale system - add to losers, close when it recovers. 75 of 78 trades were winners.
It still lost 519.83 USDT, because the three losing trades gave back more than all 75 winners made combined.
Peak margin on those trades reached 4x the entire account.
WHAT IT MEANS
Win rate is the easiest number to make look good and the least informative one to report. Anyone showing you a win rate without the size of the losses is showing you the half of the picture that flatters them.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
A strategy with a 96% win rate lost me money. Win rate tells you almost nothing.
A strategy with a 96% win rate lost me money. Win rate tells you almost nothing.
I backtested a martingale system - add to losers, close when it recovers. 75 of 78 trades were winners.
It still lost 519.83 USDT, because the three losing trades gave back more than all 75 winners made combined.
Peak margin on those trades reached 4x the entire account.
WHAT IT MEANS
Win rate is the easiest number to make look good and the least informative one to report. Anyone showing you a win rate without the size of the losses is showing you the half of the picture that flatters them.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
I backtested a martingale system - add to losers, close when it recovers. 75 of 78 trades were winners.
It still lost 519.83 USDT, because the three losing trades gave back more than all 75 winners made combined.
Peak margin on those trades reached 4x the entire account.
WHAT IT MEANS
Win rate is the easiest number to make look good and the least informative one to report. Anyone showing you a win rate without the size of the losses is showing you the half of the picture that flatters them.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
7
Ā·
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Artikel
Lihat terjemahan
MET is up +64.22% - I tested both ways to trade itTODAY'S TOP GAINERS
MET: +64.22%
OGN: +20.81%
åøå®äŗŗē: +16.97%
ALGO: +16.85%
W: +15.88%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +64.22%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $OGN $åøå®äŗŗē
#Binance #Altcoins #Futures #MET #CryptoData
MET is up +64.22% - I tested both ways to trade it
TODAY'S TOP GAINERS
MET: +64.22%
OGN: +20.81%
åøå®äŗŗē: +16.97%
ALGO: +16.85%
W: +15.88%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +64.22%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $OGN $åøå®äŗŗē
#Binance #Altcoins #Futures #MET #CryptoData
MET: +64.22%
OGN: +20.81%
åøå®äŗŗē: +16.97%
ALGO: +16.85%
W: +15.88%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +64.22%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $OGN $åøå®äŗŗē
#Binance #Altcoins #Futures #MET #CryptoData
8
Ā·
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Artikel
Lihat terjemahan
On most coins longs pay shorts. On BNB it is the other way round.On most coins longs pay shorts. On BNB it is the other way round.
Funding is the payment between long and short holders of a perpetual. Positive means longs pay shorts, which is the usual state of a market where most people are betting up.
Across 34,431 prints, BNB averages NEGATIVE funding - shorts pay longs - and only 22% of its prints are positive. BTC, ETH and DOGE are all positive.
So holding a long BNB perp is paid to exist, where a long BTC perp pays rent.
WHAT IT MEANS
It is far too small to build a strategy on - 0.0042% against 8-hour price swings of 2.36%. But if you are already holding a position, the direction of funding is not the same on every coin, and most people assume it is.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB $BTC $ETH
#Binance #Futures #Backtesting #TradingBot #CryptoData
On most coins longs pay shorts. On BNB it is the other way round.
On most coins longs pay shorts. On BNB it is the other way round.
Funding is the payment between long and short holders of a perpetual. Positive means longs pay shorts, which is the usual state of a market where most people are betting up.
Across 34,431 prints, BNB averages NEGATIVE funding - shorts pay longs - and only 22% of its prints are positive. BTC, ETH and DOGE are all positive.
So holding a long BNB perp is paid to exist, where a long BTC perp pays rent.
WHAT IT MEANS
It is far too small to build a strategy on - 0.0042% against 8-hour price swings of 2.36%. But if you are already holding a position, the direction of funding is not the same on every coin, and most people assume it is.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB $BTC $ETH
#Binance #Futures #Backtesting #TradingBot #CryptoData
Funding is the payment between long and short holders of a perpetual. Positive means longs pay shorts, which is the usual state of a market where most people are betting up.
Across 34,431 prints, BNB averages NEGATIVE funding - shorts pay longs - and only 22% of its prints are positive. BTC, ETH and DOGE are all positive.
So holding a long BNB perp is paid to exist, where a long BTC perp pays rent.
WHAT IT MEANS
It is far too small to build a strategy on - 0.0042% against 8-hour price swings of 2.36%. But if you are already holding a position, the direction of funding is not the same on every coin, and most people assume it is.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB $BTC $ETH
#Binance #Futures #Backtesting #TradingBot #CryptoData
10
Ā·
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Lihat terjemahan
HOW I TESTED IT
During a fast drop, Binance rejected my stop-loss with error -2021: the market had already moved past the trigger price before the order landed.
My code did not handle that rejection. The position stayed open with no stop, and because the bot's own state never recorded it, the next signal opened another position on top. Three times.
Intended risk was 3 USDT. Actual loss was 11.75 USDT.
THE NUMBERS
Intended max loss: -3.00
Actual loss: -11.75
Positions stacked: 3
Time elapsed: 6 seconds
A backtest assumes your stop-loss always exists. Live, it is an order that can be refused. The gap between those two assumptions is where real money goes.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
HOW I TESTED IT
During a fast drop, Binance rejected my stop-loss with error -2021: the market had already moved past the trigger price before the order landed.
My code did not handle that rejection. The position stayed open with no stop, and because the bot's own state never recorded it, the next signal opened another position on top. Three times.
Intended risk was 3 USDT. Actual loss was 11.75 USDT.
THE NUMBERS
Intended max loss: -3.00
Actual loss: -11.75
Positions stacked: 3
Time elapsed: 6 seconds
A backtest assumes your stop-loss always exists. Live, it is an order that can be refused. The gap between those two assumptions is where real money goes.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
During a fast drop, Binance rejected my stop-loss with error -2021: the market had already moved past the trigger price before the order landed.
My code did not handle that rejection. The position stayed open with no stop, and because the bot's own state never recorded it, the next signal opened another position on top. Three times.
Intended risk was 3 USDT. Actual loss was 11.75 USDT.
THE NUMBERS
Intended max loss: -3.00
Actual loss: -11.75
Positions stacked: 3
Time elapsed: 6 seconds
A backtest assumes your stop-loss always exists. Live, it is an order that can be refused. The gap between those two assumptions is where real money goes.
Part of a public experiment: 5,063 USDT to 1,000,000 USDT, every result published - including the ones that make me look bad.
Run on $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
6
Ā·
--
Artikel
Lihat terjemahan
MET is up +62.37% - I tested both ways to trade itTODAY'S TOP GAINERS
MET: +62.37%
OGN: +21.88%
GLMR: +21.34%
WIN: +20.19%
W: +15.63%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +62.37%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $OGN $GLMR
#Binance #Altcoins #Futures #MET #CryptoData
MET is up +62.37% - I tested both ways to trade it
TODAY'S TOP GAINERS
MET: +62.37%
OGN: +21.88%
GLMR: +21.34%
WIN: +20.19%
W: +15.63%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +62.37%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $OGN $GLMR
#Binance #Altcoins #Futures #MET #CryptoData
MET: +62.37%
OGN: +21.88%
GLMR: +21.34%
WIN: +20.19%
W: +15.63%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +62.37%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $OGN $GLMR
#Binance #Altcoins #Futures #MET #CryptoData
14
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Artikel
Strategi terbaik saya kalah pada 64% dari transaksinya. Namun itu tetap yang terbaik yang saya punya.Strategi terbaik saya kalah pada 64% dari transaksinya. Namun itu tetap yang terbaik yang saya punya.
Transaksi tipikal dalam sistem ini rugi 1,535 USDT. Hampir dua dari tiga transaksi adalah yang rugi.
Tetap menguntungkan, karena pemenang jauh lebih besar daripada yang kalah. Rata-rata transaksi bernilai positif, sementara median jelas bernilai negatif.
Ini juga bentuk yang kebalikannya dari martingale yang pernah saya uji, yang menang 96% waktu namun tetap rugi 519,83 USDT.
APA ARTINYA
Kalah sebagian besar waktu masih bisa ditoleransi. Kalah besar sekali tidak. Nilailah sebuah sistem berdasarkan ukuran kerugiannya, bukan berdasarkan seberapa sering ia menang.
Strategi terbaik saya kalah pada 64% dari transaksinya. Namun itu tetap yang terbaik yang saya punya.
Strategi terbaik saya kalah pada 64% dari transaksinya. Namun itu tetap yang terbaik yang saya punya.
Transaksi tipikal dalam sistem ini rugi 1,535 USDT. Hampir dua dari tiga transaksi adalah yang rugi.
Tetap menguntungkan, karena pemenang jauh lebih besar daripada yang kalah. Rata-rata transaksi bernilai positif, sementara median jelas bernilai negatif.
Ini juga bentuk yang kebalikannya dari martingale yang pernah saya uji, yang menang 96% waktu namun tetap rugi 519,83 USDT.
APA ARTINYA
Kalah sebagian besar waktu masih bisa ditoleransi. Kalah besar sekali tidak. Nilailah sebuah sistem berdasarkan ukuran kerugiannya, bukan berdasarkan seberapa sering ia menang.
Transaksi tipikal dalam sistem ini rugi 1,535 USDT. Hampir dua dari tiga transaksi adalah yang rugi.
Tetap menguntungkan, karena pemenang jauh lebih besar daripada yang kalah. Rata-rata transaksi bernilai positif, sementara median jelas bernilai negatif.
Ini juga bentuk yang kebalikannya dari martingale yang pernah saya uji, yang menang 96% waktu namun tetap rugi 519,83 USDT.
APA ARTINYA
Kalah sebagian besar waktu masih bisa ditoleransi. Kalah besar sekali tidak. Nilailah sebuah sistem berdasarkan ukuran kerugiannya, bukan berdasarkan seberapa sering ia menang.
5
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Artikel
Strategi saya yang ātervalidasiā menghasilkan +1,74 USDT dalam backtest, lalu merugi 208,72 USDT pada data yang belum pernahStrategi saya yang ātervalidasiā menghasilkan +1,74 USDT dalam backtest, lalu merugi 208,72 USDT pada data yang belum pernah dilihatnya.
Saya menyaring 40 simbol dan menemukan tiga yang tampak menguntungkan. Saya menyebutnya tervalidasi dan menjalankannya secara langsung.
Lalu saya menguji pengaturan yang persis sama pada data harga selama 751 hari yang belum pernah disentuh oleh pencarian. Ketiganya berbalik. Bukan sedikitāsepenuhnya.
Tiga yang bertahan dari 40 kira-kira sesuai dengan hasil yang bisa didapat secara kebetulan murni pada ukuran sampel sebesar itu.
ARTINYA
Jika menelusuri data acak dengan cukup tekun, Anda pasti akan menemukan pemenang. Hanya pengujian di luar sampel yang bisa memberi tahu apakah Anda menemukan keunggulan atau sekadar menemukan derau yang menyamar.
Strategi saya yang ātervalidasiā menghasilkan +1,74 USDT dalam backtest, lalu merugi 208,72 USDT pada data yang belum pernah
Strategi saya yang ātervalidasiā menghasilkan +1,74 USDT dalam backtest, lalu merugi 208,72 USDT pada data yang belum pernah dilihatnya.
Saya menyaring 40 simbol dan menemukan tiga yang tampak menguntungkan. Saya menyebutnya tervalidasi dan menjalankannya secara langsung.
Lalu saya menguji pengaturan yang persis sama pada data harga selama 751 hari yang belum pernah disentuh oleh pencarian. Ketiganya berbalik. Bukan sedikitāsepenuhnya.
Tiga yang bertahan dari 40 kira-kira sesuai dengan hasil yang bisa didapat secara kebetulan murni pada ukuran sampel sebesar itu.
ARTINYA
Jika menelusuri data acak dengan cukup tekun, Anda pasti akan menemukan pemenang. Hanya pengujian di luar sampel yang bisa memberi tahu apakah Anda menemukan keunggulan atau sekadar menemukan derau yang menyamar.
Saya menyaring 40 simbol dan menemukan tiga yang tampak menguntungkan. Saya menyebutnya tervalidasi dan menjalankannya secara langsung.
Lalu saya menguji pengaturan yang persis sama pada data harga selama 751 hari yang belum pernah disentuh oleh pencarian. Ketiganya berbalik. Bukan sedikitāsepenuhnya.
Tiga yang bertahan dari 40 kira-kira sesuai dengan hasil yang bisa didapat secara kebetulan murni pada ukuran sampel sebesar itu.
ARTINYA
Jika menelusuri data acak dengan cukup tekun, Anda pasti akan menemukan pemenang. Hanya pengujian di luar sampel yang bisa memberi tahu apakah Anda menemukan keunggulan atau sekadar menemukan derau yang menyamar.
3
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Artikel
Lihat terjemahan
MET is up +70.19% - I tested both ways to trade itTODAY'S TOP GAINERS
MET: +70.19%
GLMR: +23.39%
W: +15.10%
ERA: +13.11%
åøå®äŗŗē: +12.36%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +70.19%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $GLMR $W
#Binance #Altcoins #Futures #MET #CryptoData
MET is up +70.19% - I tested both ways to trade it
TODAY'S TOP GAINERS
MET: +70.19%
GLMR: +23.39%
W: +15.10%
ERA: +13.11%
åøå®äŗŗē: +12.36%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +70.19%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $GLMR $W
#Binance #Altcoins #Futures #MET #CryptoData
MET: +70.19%
GLMR: +23.39%
W: +15.10%
ERA: +13.11%
åøå®äŗŗē: +12.36%
Every account on this app will show you this list. Here is the part they skip.
I backtested both ways of trading a move like MET's +70.19%: buying the breakout, and fading it on the assumption it reverts. Both lost money. Not narrowly - they lost roughly the transaction cost, 0.240% per round trip, which is what a signal carrying no information looks like once you charge it fees.
A large 24-hour move tells you something already happened. It does not tell you what happens next, and the data says so in both directions.
Part of a public experiment: every strategy I test gets published, working or not.
Movers above: $MET $GLMR $W
#Binance #Altcoins #Futures #MET #CryptoData
12
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Bergabunglah dengan pengguna kripto global di Binance Square
ā”ļø Dapatkan informasi terbaru dan berguna tentang kripto.
š¬ Dipercayai oleh bursa kripto terbesar di dunia.
š Temukan wawasan nyata dari kreator terverifikasi.
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Topik Sedang Tren
IMFSaysTokenizedMarketsSmall
31,895 penayangan
397 Berdiskusi
IMF Menyatakan Pasar yang Ditokenisasi Kecil dan Terfragmentasi ā Butuh Kejelasan Hukum & Regulasi! š¦
IMF merilis laporan mengejutkan April 2026 ā tokenisasi BUKAN sekadar peningkatan, ini pergeseran struktural tetapi masih sangat kecil!
Temuan Utama:
š Pasar RWA: $27.5B (sebagian besar US Treasuries) ā $65B termasuk obligasi/pasar uang (70%+)
š Masih kecil dibanding TradFi, tetapi tumbuh cepat ā BlackRock BUIDL, dana on-chain Franklin Templeton memimpin
š Likuiditas lebih rendah + volatilitas lebih tinggi dibanding pasar tradisional
š Terfragmentasi: Terbagi di banyak platform yang tidak bisa saling berkomunikasi = banyak pasar kecil yang tidak likuid
Peringatan IMF:
ā ļø Kecepatan = Risiko ā pasar yang ditokenisasi selesai dalam mikrodetik, menghilangkan penyangga waktu yang memperlambat krisis
ā ļø Dapat memperburuk flash crash seperti crash 2010 senilai $1T ā kontrak pintar + eksekusi otomatis = dapat merusak sistem
ā ļø Risiko siber: infrastruktur bersama yang kompleks + sedikit penyedia pihak ketiga = satu peretasan menyebar luas
ā ļø Perpindahan risiko dari neraca bank ke kumpulan kecil basis kode/platform
4 Kendala:
Kepastian hukumKejelasan regulasiInteroperabilitasPenyelesaian yang aman
Tanpa standar global + regulasi yang terkoordinasi, tokenisasi bisa memecah belah keuangan alih-alih memperbaikinya.
Namun ada sisi positif: penyelesaian hampir instan dapat memangkas biaya pengelolaan aset sebesar 20% (estimasi J.P. Morgan)
Apakah tokenisasi masa depan atau risiko sistemik?
#IMFSaysTokenizedMarketsSmall #Tokenization #RWA #IMF # BlackRock #LearnAndDiscuss#imfsaystokenizedmarketssmall
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