Probability & Price Band Targeting: Entries are often taken around balanced price levels (such as near 50¢) where short term momentum or volatility shifts can create favorable risk reward asymmetry before expiration.
edge came mostly from maker/taker rebates, not just aw trading PnL. That's part of the strategy, not a footnote. Volume and fee structure matter as much as direction calls.
All of this is run through a bot, built specifically for Polymarket's BTC/ETH markets.
No manual guessing, no emotion, just consistent execution day after day.
This is exactly what the intelligent layer is built to systematize.
@Mark_A78 A liquidity grab alone doesn’t confirm a reversal.
What would invalidate this setup at $8.68, and what timeframe supports the $151.78 target? Risk-to-reward only matters if the entry thesis and invalidation level are clear.
Wowwww impressive
The interesting part isn’t finding prospects or sending emails separately; it’s connecting the entire workflow.
I’d be looking at lead quality, how accurately it identifies real buying intent, and how many qualified calls actually show up not just how many emails get sent.
@NattMohanjit This is essentially a high-volume, low-margin strategy where one bad reversal can erase many small wins.
The key question is whether the $29.7K profit survives fees, slippage, and extreme settlement moves and how much capital was exposed when those 99¢ contracts lost.
The most valuable part isn’t the AI writing posts; it’s the feedback loop between analytics, research, and content decisions.
I’d want to see how much of the 2.8M impressions came from automation versus the account’s existing audience, and whether the workflow can replicate those results on smaller accounts.
The rejection logic is more interesting than the $8,145 paper result. But 69% wins doesn’t prove profitability live.
I would want to see the full replay methodology, fees, slippage, maximum drawdown, and whether those six filters hold up on unseen data before trusting the strategy.
A curve that never dips is a red flag, not proof of an edge.
Copy-trading 47 wallets means nothing without independently verified trade history, losses, fees, slippage, and drawdowns.
If the bot really turns $300 into $1,429 overnight, show the live wallet and full P&L not just selected wins.
The interesting edge here may be his market selection and patience, not simply buying low-priced outcomes. A 2–20¢ entry can still lose everything, and a rising profit curve doesn't show unrealized losses or capital tied up in open positions. I'd be curious to see his returns broken down by market category and holding period.
The filtering pipeline is interesting, but 97 profitable trades out of 118 doesn't prove a profitable system.
I'd want to see verified on-chain transactions, fees, slippage, and maximum drawdown.
Filtering out risky tokens helps, but it doesn't eliminate rug pulls or guarantee execution at the expected price.