Daniro 的 X 帖子
@Dan1ro0
This guy used Grok Bot to build a Quant ROC system and it made $2,847 a day on Polymarket
The result is already +$418,551 PnL in 147 days with about $261 per average trade, repeating the same setup 27 times every hour across BTC "Up or Down" markets
Several AI agents work together as one algorithm:
1. ROC measures how fast BTC is moving and in which direction
The bot compares the current BTC level with where it was a few moments earlier:
ROC = (Sₜ - Sₜ₋ₙ) / Sₜ₋ₙ × 100
Where:
Sₜ = current BTC level
Sₜ₋ₙ = BTC level at the start of the window
Strong positive ROC → stronger Up signal
Strong negative ROC → stronger Down signal
The larger the absolute ROC, the stronger the short-term move
2. ATR checks whether that move is actually large for current volatility
The system then measures the normal trading range:
TR = max(H - L, |H - Cprev|, |L - Cprev|)
ATR = Average(TR)
A signal matters only when the BTC move is large enough relative to ATR:
|Move| > k × ATR
This stops the bot from treating ordinary noise as momentum when volatility is already high
This is the first agent that will create a trading bot strategy for you and then build it:https://join.horizon.trade/Quant
This trader’s Polymarket account: almach
Most profitable trades:
$860 → $3,000 (+$2,140)
$618 → $2,566 (+$1,948)
$1,344 → $3,131 (+$1,786)
The system uses ROC to detect short-term momentum and ATR to determine whether that move is significant enough to act on
The result is already +$418,551 PnL in 147 days with about $261 per average trade, repeating the same setup 27 times every hour across BTC "Up or Down" markets
Several AI agents work together as one algorithm:
1. ROC measures how fast BTC is moving and in which direction
The bot compares the current BTC level with where it was a few moments earlier:
ROC = (Sₜ - Sₜ₋ₙ) / Sₜ₋ₙ × 100
Where:
Sₜ = current BTC level
Sₜ₋ₙ = BTC level at the start of the window
Strong positive ROC → stronger Up signal
Strong negative ROC → stronger Down signal
The larger the absolute ROC, the stronger the short-term move
2. ATR checks whether that move is actually large for current volatility
The system then measures the normal trading range:
TR = max(H - L, |H - Cprev|, |L - Cprev|)
ATR = Average(TR)
A signal matters only when the BTC move is large enough relative to ATR:
|Move| > k × ATR
This stops the bot from treating ordinary noise as momentum when volatility is already high
This is the first agent that will create a trading bot strategy for you and then build it:https://join.horizon.trade/Quant
This trader’s Polymarket account: almach
Most profitable trades:
$860 → $3,000 (+$2,140)
$618 → $2,566 (+$1,948)
$1,344 → $3,131 (+$1,786)
The system uses ROC to detect short-term momentum and ATR to determine whether that move is significant enough to act on
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