cryptotradehead
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cryptotradehead
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backtesting, analyse, how to use AI for trading - can you be a good trader?
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HOW I TESTED IT
Rank 45 perpetuals by 5-day return. Long the top 5, short the bottom 5, hold 15 days, rebalance. Equal weight, dollar-neutral.
The out-of-sample control is the one that had destroyed everything before it: fix the settings on old data, then run them on data the search never touched. In-sample +1.711% per rebalance, out-of-sample +1.801%. The mean held.
It also survives costs far worse than real: still +0.48% per rebalance even at a 1.50% round trip, six times what Binance actually charges.
THE NUMBERS
Mean per rebalance: +1.737%
In-sample: +1.711%
Out-of-sample: +1.801%
Win rate: 55.6%
Being long and short at the same time means the market's direction cancels out. What is left is whether the winners keep beating the losers - which is a real question, not a bet on the market going up.
Part of a public experiment:...
HOW I TESTED IT
Rank 45 perpetuals by 5-day return. Long the top 5, short the bottom 5, hold 15 days, rebalance. Equal weight, dollar-neutral.
The out-of-sample control is the one that had destroyed everything before it: fix the settings on old data, then run them on data the search never touched. In-sample +1.711% per rebalance, out-of-sample +1.801%. The mean held.
It also survives costs far worse than real: still +0.48% per rebalance even at a 1.50% round trip, six times what Binance actually charges.
THE NUMBERS
Mean per rebalance: +1.737%
In-sample: +1.711%
Out-of-sample: +1.801%
Win rate: 55.6%
Being long and short at the same time means the market's direction cancels out. What is left is whether the winners keep beating the losers - which is a real question, not a bet on the market going up.
Part of a public experiment:...
Rank 45 perpetuals by 5-day return. Long the top 5, short the bottom 5, hold 15 days, rebalance. Equal weight, dollar-neutral.
The out-of-sample control is the one that had destroyed everything before it: fix the settings on old data, then run them on data the search never touched. In-sample +1.711% per rebalance, out-of-sample +1.801%. The mean held.
It also survives costs far worse than real: still +0.48% per rebalance even at a 1.50% round trip, six times what Binance actually charges.
THE NUMBERS
Mean per rebalance: +1.737%
In-sample: +1.711%
Out-of-sample: +1.801%
Win rate: 55.6%
Being long and short at the same time means the market's direction cancels out. What is left is whether the winners keep beating the losers - which is a real question, not a bet on the market going up.
Part of a public experiment:...
1
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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.
Here is what that came from.
I tested 378 moving-average strategies. Every one lost exactly what it cost to trade.
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.
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
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.
Here is what that came from.
I tested 378 moving-average strategies. Every one lost exactly what it cost to trade.
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.
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
Here is what that came from.
I tested 378 moving-average strategies. Every one lost exactly what it cost to trade.
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.
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
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HOW I TESTED IT
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.
THE NUMBERS
2022 (bear): -1.199%
2023: -0.289%
2024: +0.503%
2025: +0.274%
2026: +0.331%
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.
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
HOW I TESTED IT
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.
THE NUMBERS
2022 (bear): -1.199%
2023: -0.289%
2024: +0.503%
2025: +0.274%
2026: +0.331%
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.
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
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.
THE NUMBERS
2022 (bear): -1.199%
2023: -0.289%
2024: +0.503%
2025: +0.274%
2026: +0.331%
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.
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
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DAY 1 - 5,063 USDT to 1,000,000 USDT
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
DAY 1 - 5,063 USDT to 1,000,000 USDT
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
3
Artigo
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Two thirds of my strategy's profit came from one year. That is not an edge, it is an eventTwo thirds of my strategy's profit came from one year. That is not an edge, it is an event.
The headline number was +134.12 USDT from short breakouts. Then I split it by year.
2022 - the year of the LUNA collapse and the FTX failure - produced 88.54 of it. Strip that year out and four years of trading returned 45.59 USDT, most of it from 2025.
2026 so far is flat.
WHAT IT MEANS
This is tail capture, not income. Realistically it does nothing in calm markets and pays during sharp selloffs. Expecting it to earn every month is how people quit a strategy right before it works.
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 $LTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
Two thirds of my strategy's profit came from one year. That is not an edge, it is an event
Two thirds of my strategy's profit came from one year. That is not an edge, it is an event.
The headline number was +134.12 USDT from short breakouts. Then I split it by year.
2022 - the year of the LUNA collapse and the FTX failure - produced 88.54 of it. Strip that year out and four years of trading returned 45.59 USDT, most of it from 2025.
2026 so far is flat.
WHAT IT MEANS
This is tail capture, not income. Realistically it does nothing in calm markets and pays during sharp selloffs. Expecting it to earn every month is how people quit a strategy right before it works.
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 $LTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
The headline number was +134.12 USDT from short breakouts. Then I split it by year.
2022 - the year of the LUNA collapse and the FTX failure - produced 88.54 of it. Strip that year out and four years of trading returned 45.59 USDT, most of it from 2025.
2026 so far is flat.
WHAT IT MEANS
This is tail capture, not income. Realistically it does nothing in calm markets and pays during sharp selloffs. Expecting it to earn every month is how people quit a strategy right before it works.
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 $LTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
11
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DAY 1 - 5,063 USDT to 1,000,000 USDT
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
DAY 1 - 5,063 USDT to 1,000,000 USDT
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
2
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HOW I TESTED IT
Same universe, same ranking rule, same holding period, five different years.
2024 and 2025 carried the whole strategy. 2026 is the worst year of the five - a 25% win rate over roughly nine months.
Buying the strongest coins and shorting the weakest has stopped working this year. Doing the opposite would have returned +1.47% per rebalance at a 69% win rate.
THE NUMBERS
2022: +0.510%
2023: -0.323%
2024: +5.008%
2025: +3.900%
2026 YTD: -1.950%
A strategy is not a fact about markets, it is a fact about a period. Anyone showing you a backtest without the year-by-year breakdown is hiding the years that did not work.
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 $ETH
#Binance #Futures #Backtesting #TradingBot #CryptoData
HOW I TESTED IT
Same universe, same ranking rule, same holding period, five different years.
2024 and 2025 carried the whole strategy. 2026 is the worst year of the five - a 25% win rate over roughly nine months.
Buying the strongest coins and shorting the weakest has stopped working this year. Doing the opposite would have returned +1.47% per rebalance at a 69% win rate.
THE NUMBERS
2022: +0.510%
2023: -0.323%
2024: +5.008%
2025: +3.900%
2026 YTD: -1.950%
A strategy is not a fact about markets, it is a fact about a period. Anyone showing you a backtest without the year-by-year breakdown is hiding the years that did not work.
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 $ETH
#Binance #Futures #Backtesting #TradingBot #CryptoData
Same universe, same ranking rule, same holding period, five different years.
2024 and 2025 carried the whole strategy. 2026 is the worst year of the five - a 25% win rate over roughly nine months.
Buying the strongest coins and shorting the weakest has stopped working this year. Doing the opposite would have returned +1.47% per rebalance at a 69% win rate.
THE NUMBERS
2022: +0.510%
2023: -0.323%
2024: +5.008%
2025: +3.900%
2026 YTD: -1.950%
A strategy is not a fact about markets, it is a fact about a period. Anyone showing you a backtest without the year-by-year breakdown is hiding the years that did not work.
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 $ETH
#Binance #Futures #Backtesting #TradingBot #CryptoData
5
Artigo
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LSK is up +46.91% - I tested both ways to trade itTODAY'S TOP GAINERS
LSK: +46.91%
EDEN: +17.17%
CVC: +16.93%
STX: +16.88%
RAD: +15.25%
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 LSK's +46.91%: 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: $LSK $EDEN $CVC
#Binance #Altcoins #Futures #LSK #CryptoData
LSK is up +46.91% - I tested both ways to trade it
TODAY'S TOP GAINERS
LSK: +46.91%
EDEN: +17.17%
CVC: +16.93%
STX: +16.88%
RAD: +15.25%
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 LSK's +46.91%: 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: $LSK $EDEN $CVC
#Binance #Altcoins #Futures #LSK #CryptoData
LSK: +46.91%
EDEN: +17.17%
CVC: +16.93%
STX: +16.88%
RAD: +15.25%
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 LSK's +46.91%: 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: $LSK $EDEN $CVC
#Binance #Altcoins #Futures #LSK #CryptoData
6
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HOW I TESTED IT
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.
THE NUMBERS
BNB funding: -0.0042%
Prints positive: only 22%
BTC / ETH / DOGE: positive
Events measured: 34,431
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
HOW I TESTED IT
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.
THE NUMBERS
BNB funding: -0.0042%
Prints positive: only 22%
BTC / ETH / DOGE: positive
Events measured: 34,431
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.
THE NUMBERS
BNB funding: -0.0042%
Prints positive: only 22%
BTC / ETH / DOGE: positive
Events measured: 34,431
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
5
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DAY 1 - 5,063 USDT to 1,000,000 USDT
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
DAY 1 - 5,063 USDT to 1,000,000 USDT
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
2
Artigo
Ver tradução
LSK is up +35.47% - I tested both ways to trade itTODAY'S TOP GAINERS
LSK: +35.47%
STX: +29.44%
CVC: +14.13%
EDEN: +13.64%
RAD: +13.54%
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 LSK's +35.47%: 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: $LSK $STX $CVC
#Binance #Altcoins #Futures #LSK #CryptoData
LSK is up +35.47% - I tested both ways to trade it
TODAY'S TOP GAINERS
LSK: +35.47%
STX: +29.44%
CVC: +14.13%
EDEN: +13.64%
RAD: +13.54%
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 LSK's +35.47%: 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: $LSK $STX $CVC
#Binance #Altcoins #Futures #LSK #CryptoData
LSK: +35.47%
STX: +29.44%
CVC: +14.13%
EDEN: +13.64%
RAD: +13.54%
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 LSK's +35.47%: 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: $LSK $STX $CVC
#Binance #Altcoins #Futures #LSK #CryptoData
4
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DAY 1 - 5,063 USDT to 1,000,000 USDT
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
DAY 1 - 5,063 USDT to 1,000,000 USDT
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
Balance: 5,063.23 USDT
Change: +0.00 USDT (+0.0%)
Runners stopped while I rebuild the strategy from the backtest evidence. Nothing open.
Running on a Binance testnet account, so this is demo capital - I would rather say that than let you assume otherwise. The strategy, the costs and the losses are all real.
No signals for sale, no course, no affiliate link. Just the account and the data behind it.
Traded in this challenge: $BTC $SOL $AVAX
#Binance #USDT #Futures #TradingChallenge #Crypto
6
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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
12
Artigo
Ver tradução
LSK is up +32.66% - I tested both ways to trade itTODAY'S TOP GAINERS
LSK: +32.66%
RAD: +18.67%
CVC: +16.09%
EDEN: +15.80%
GTC: +14.46%
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 LSK's +32.66%: 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: $LSK $RAD $CVC
#Binance #Altcoins #Futures #LSK #CryptoData
LSK is up +32.66% - I tested both ways to trade it
TODAY'S TOP GAINERS
LSK: +32.66%
RAD: +18.67%
CVC: +16.09%
EDEN: +15.80%
GTC: +14.46%
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 LSK's +32.66%: 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: $LSK $RAD $CVC
#Binance #Altcoins #Futures #LSK #CryptoData
LSK: +32.66%
RAD: +18.67%
CVC: +16.09%
EDEN: +15.80%
GTC: +14.46%
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 LSK's +32.66%: 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: $LSK $RAD $CVC
#Binance #Altcoins #Futures #LSK #CryptoData
5
COMO TESTEI
O momentum inverteu em 2026. A solução óbvia: acompanhar o desempenho recente e mudar para a regra oposta quando o momentum deixar de compensar.
Testei isso em seis janelas de retrospectiva diferentes. A melhor rendeu +1.783% por rebalanceamento, contra uma linha de base de +1.737% — uma diferença indistinguível do ruído. Todas as outras janelas tiveram resultados piores. Nenhuma corrigiu 2026.
O motivo é simples: quando o desempenho passado indica que o regime mudou, você já sofreu as perdas que deram esse sinal.
OS NÚMEROS
Linha de base: +1.737%/reb
Melhor regra adaptativa: +1.783%/reb
Diferença: ruído
Melhor solução para 2026: ainda -0.66%
Regras adaptativas parecem ser a resposta às mudanças de regime. Em geral, são apenas uma versão mais lenta da mesma aposta, com as perdas já pagas para obter o sinal.
Parte de um experimento público: de 5,063 USDT a 1,000,000 USDT, com todos os resultados publicados — inclusive os que me fazem parecer mal.
Executado em $SOL $BTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
COMO TESTEI
O momentum inverteu em 2026. A solução óbvia: acompanhar o desempenho recente e mudar para a regra oposta quando o momentum deixar de compensar.
Testei isso em seis janelas de retrospectiva diferentes. A melhor rendeu +1.783% por rebalanceamento, contra uma linha de base de +1.737% — uma diferença indistinguível do ruído. Todas as outras janelas tiveram resultados piores. Nenhuma corrigiu 2026.
O motivo é simples: quando o desempenho passado indica que o regime mudou, você já sofreu as perdas que deram esse sinal.
OS NÚMEROS
Linha de base: +1.737%/reb
Melhor regra adaptativa: +1.783%/reb
Diferença: ruído
Melhor solução para 2026: ainda -0.66%
Regras adaptativas parecem ser a resposta às mudanças de regime. Em geral, são apenas uma versão mais lenta da mesma aposta, com as perdas já pagas para obter o sinal.
Parte de um experimento público: de 5,063 USDT a 1,000,000 USDT, com todos os resultados publicados — inclusive os que me fazem parecer mal.
Executado em $SOL $BTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
O momentum inverteu em 2026. A solução óbvia: acompanhar o desempenho recente e mudar para a regra oposta quando o momentum deixar de compensar.
Testei isso em seis janelas de retrospectiva diferentes. A melhor rendeu +1.783% por rebalanceamento, contra uma linha de base de +1.737% — uma diferença indistinguível do ruído. Todas as outras janelas tiveram resultados piores. Nenhuma corrigiu 2026.
O motivo é simples: quando o desempenho passado indica que o regime mudou, você já sofreu as perdas que deram esse sinal.
OS NÚMEROS
Linha de base: +1.737%/reb
Melhor regra adaptativa: +1.783%/reb
Diferença: ruído
Melhor solução para 2026: ainda -0.66%
Regras adaptativas parecem ser a resposta às mudanças de regime. Em geral, são apenas uma versão mais lenta da mesma aposta, com as perdas já pagas para obter o sinal.
Parte de um experimento público: de 5,063 USDT a 1,000,000 USDT, com todos os resultados publicados — inclusive os que me fazem parecer mal.
Executado em $SOL $BTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
13
Artigo
Ver tradução
I ran 3,209 breakout trades. The longs lost money. The shorts made all of it.I ran 3,209 breakout trades. The longs lost money. The shorts made all of it.
Donchian 20 channel, ATR stop, 10 symbols, four and a half years.
If this were just riding a bull market, the longs would be the winners. They are not - they are negative.
The shorts even made money on coins that ROSE over the period. BTC gained 94% buy-and-hold, and shorting its breakdowns still returned +22.83 USDT. XRP gained 87%, shorts returned +24.27 USDT.
WHAT IT MEANS
Crypto falls faster than it rises - liquidation cascades are asymmetric. That is documented market structure, which is why this result is more believable than one that only works when everything goes up.
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 $XRP $LTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
I ran 3,209 breakout trades. The longs lost money. The shorts made all of it.
I ran 3,209 breakout trades. The longs lost money. The shorts made all of it.
Donchian 20 channel, ATR stop, 10 symbols, four and a half years.
If this were just riding a bull market, the longs would be the winners. They are not - they are negative.
The shorts even made money on coins that ROSE over the period. BTC gained 94% buy-and-hold, and shorting its breakdowns still returned +22.83 USDT. XRP gained 87%, shorts returned +24.27 USDT.
WHAT IT MEANS
Crypto falls faster than it rises - liquidation cascades are asymmetric. That is documented market structure, which is why this result is more believable than one that only works when everything goes up.
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 $XRP $LTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
Donchian 20 channel, ATR stop, 10 symbols, four and a half years.
If this were just riding a bull market, the longs would be the winners. They are not - they are negative.
The shorts even made money on coins that ROSE over the period. BTC gained 94% buy-and-hold, and shorting its breakdowns still returned +22.83 USDT. XRP gained 87%, shorts returned +24.27 USDT.
WHAT IT MEANS
Crypto falls faster than it rises - liquidation cascades are asymmetric. That is documented market structure, which is why this result is more believable than one that only works when everything goes up.
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 $XRP $LTC
#Binance #Futures #Backtesting #TradingBot #CryptoData
11
Artigo
Ver tradução
LSK is up +24.83% - I tested both ways to trade itTODAY'S TOP GAINERS
LSK: +24.83%
RAD: +22.81%
EDEN: +15.04%
RSR: +13.60%
BEAMX: +12.82%
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 LSK's +24.83%: 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: $LSK $RAD $EDEN
#Binance #Altcoins #Futures #LSK #CryptoData
LSK is up +24.83% - I tested both ways to trade it
TODAY'S TOP GAINERS
LSK: +24.83%
RAD: +22.81%
EDEN: +15.04%
RSR: +13.60%
BEAMX: +12.82%
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 LSK's +24.83%: 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: $LSK $RAD $EDEN
#Binance #Altcoins #Futures #LSK #CryptoData
LSK: +24.83%
RAD: +22.81%
EDEN: +15.04%
RSR: +13.60%
BEAMX: +12.82%
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 LSK's +24.83%: 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: $LSK $RAD $EDEN
#Binance #Altcoins #Futures #LSK #CryptoData
13
Ver tradução
24-HOUR SNAPSHOT
BNB/USDT: 704.22 USDT (+0.40%)
BTC/USDT: 77,456.40 USDT (+0.12%)
ETH/USDT: 2,245.00 USDT (+0.74%)
SOL/USDT: 95.70 USDT (-1.01%)
Funding on SOL/USDT is +0.0055% 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 $ETH $BNB
#Binance #Crypto #Futures #BTC #Altcoins
24-HOUR SNAPSHOT
BNB/USDT: 704.22 USDT (+0.40%)
BTC/USDT: 77,456.40 USDT (+0.12%)
ETH/USDT: 2,245.00 USDT (+0.74%)
SOL/USDT: 95.70 USDT (-1.01%)
Funding on SOL/USDT is +0.0055% 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 $ETH $BNB
#Binance #Crypto #Futures #BTC #Altcoins
BNB/USDT: 704.22 USDT (+0.40%)
BTC/USDT: 77,456.40 USDT (+0.12%)
ETH/USDT: 2,245.00 USDT (+0.74%)
SOL/USDT: 95.70 USDT (-1.01%)
Funding on SOL/USDT is +0.0055% 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 $ETH $BNB
#Binance #Crypto #Futures #BTC #Altcoins
3
Artigo
Ver tradução
AMP is up +25.16% - I tested both ways to trade itTODAY'S TOP GAINERS
AMP: +25.16%
RAD: +23.18%
LSK: +15.49%
EDEN: +15.14%
GTC: +13.64%
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 AMP's +25.16%: 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: $AMP $RAD $LSK
#Binance #Altcoins #Futures #AMP #CryptoData
AMP is up +25.16% - I tested both ways to trade it
TODAY'S TOP GAINERS
AMP: +25.16%
RAD: +23.18%
LSK: +15.49%
EDEN: +15.14%
GTC: +13.64%
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 AMP's +25.16%: 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: $AMP $RAD $LSK
#Binance #Altcoins #Futures #AMP #CryptoData
AMP: +25.16%
RAD: +23.18%
LSK: +15.49%
EDEN: +15.14%
GTC: +13.64%
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 AMP's +25.16%: 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: $AMP $RAD $LSK
#Binance #Altcoins #Futures #AMP #CryptoData
7
Ver tradução
HOW I TESTED IT
I swept 40 symbols and found three that looked profitable. I called them validated and put them live.
Then I tested the exact same settings on 751 days of price history the search had never touched. All three reversed. Not marginally - completely.
Three survivors out of 40 is roughly what pure chance produces at that sample size.
THE NUMBERS
In-sample result: +1.74
Out-of-sample result: -208.72
Days of untouched data: 751
Symbols that survived: 0 of 3
Searching hard enough through random data will always produce a winner. The out-of-sample test is the only thing that tells you whether you found an edge or just found noise wearing a costume.
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 $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
HOW I TESTED IT
I swept 40 symbols and found three that looked profitable. I called them validated and put them live.
Then I tested the exact same settings on 751 days of price history the search had never touched. All three reversed. Not marginally - completely.
Three survivors out of 40 is roughly what pure chance produces at that sample size.
THE NUMBERS
In-sample result: +1.74
Out-of-sample result: -208.72
Days of untouched data: 751
Symbols that survived: 0 of 3
Searching hard enough through random data will always produce a winner. The out-of-sample test is the only thing that tells you whether you found an edge or just found noise wearing a costume.
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 $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
I swept 40 symbols and found three that looked profitable. I called them validated and put them live.
Then I tested the exact same settings on 751 days of price history the search had never touched. All three reversed. Not marginally - completely.
Three survivors out of 40 is roughly what pure chance produces at that sample size.
THE NUMBERS
In-sample result: +1.74
Out-of-sample result: -208.72
Days of untouched data: 751
Symbols that survived: 0 of 3
Searching hard enough through random data will always produce a winner. The out-of-sample test is the only thing that tells you whether you found an edge or just found noise wearing a costume.
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 $BNB
#Binance #Futures #Backtesting #TradingBot #CryptoData
8
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