I’ve been running a live automated BTC 5-minute Up/Down engine on Polymarket under @abrownfox001 (wallet 0x12b7…1b0b).
This is not another “buy 99¢ near-certainty” farm.
It’s a pure directional system that enters the coin-flip band (~45–55¢), holds only high-conviction legs, and scratches the rest at essentially breakeven.
The edge lives in the tech stack — specifically how the signal is generated, how entries are timed, and how risk is culled in real time.
Here’s the technical core and the exact mistakes most bot traders make that this architecture was built to eliminate.
The Pipeline (What Actually Runs Every Slot)
One logical engine per active btc-updown-5m-{ts} market:
TWAP feed — continuous stream of the latest Chainlink TWAP (currently the 60-second window). This is the exact settlement reference Polymarket uses. No stale CEX last price, no end-of-slot snapshot guess.
Slot-open reference locked at market open.
Private signal layer — calibrated
P(up)that compares the live TWAP path against the open reference, and incorporates short-horizon lead-lag from CEX mids, flow, and time remaining inside the slot. Output is a continuous probability vs 0.5.Entry logic — only when
|P(up) – 0.5|clears threshold and the ask sits in the fair 45–55¢ zone. Clips are small ($50–175), staggered across the first half of the slot (median entry ~47 s after open) so we never lift a thin early book.Re-score loop every 10–30 seconds.
-
Hybrid exit:
- Signal decays → immediate taker sell back to flat (observed average buy ~0.504 / sell ~0.503 → near-zero scratch cost)
- Signal holds → ride to resolution and redeem winners at $1
The open-source TypeScript reference (@polymarket/clob-client-v2, Node 18+) implements discovery, order routing, the state machine, and scratch logic. The calibrated signal stays private because that is the only real moat.
Six Mistakes Most Bot Traders Make — And How This System Avoids Them
Mistake 1: Treating the signal as a simple CEX direction tick
Most bots just look at the latest Binance or Coinbase mid and assume “up means buy Up.” On a 5-minute market that settles on a Chainlink TWAP, that is mostly noise.
Fix: Every probability is anchored to the live TWAP path versus the exact open reference. The model is trained and calibrated on the actual settlement rule, not on single-price snapshots.
Mistake 2: Entering too early or too aggressively at size
Jumping in the first few seconds on a thin book means you pay 53–55¢ for a ~50¢ fair value. Edge disappears before the trade even starts.
Fix: Entries are deliberately staggered. Median buy sits around ~47 seconds. We only take size when liquidity is already present near 50¢. Observed average entry on held legs is ~0.503.
Mistake 3: Hold-everything-to-resolution
A raw signal that is only 55–58% accurate will still bleed once you include the losers that should never have been held.
Fix: Continuous re-scoring. Weak tickets are scratched at near-zero cost. In a large public sample, hundreds of markets show buy + sell at essentially the same price. Only the high-conviction subset reaches resolution — that is why the held-side win rate can sit near ~60.7% even if the raw signal is lower.
Mistake 4: Ignoring latency and adverse selection
Slow infrastructure buys the wrong side of a 50¢ book after the move has already happened.
Fix: The entire loop (TWAP ingest → signal → order) is built for fast reaction on the CLOB. Fill quality is treated as a first-class constraint, not an afterthought.
Mistake 5: Over-fitting to a single regime or price band
Many bots work until volatility shifts or the 5-minute books get crowded.
Fix: The system is deliberately a single-market specialist (BTC 5m only). Calibration includes time-in-slot and regime-aware thresholds. We do not spray across SOL/ETH/politics or longer windows.
Mistake 6: No real risk-culling layer
Most “directional” bots are just entry engines with a hope-and-pray exit.
Fix: The scratch logic is the second edge. Low-conviction capital is recycled immediately. Capital turnover stays high while the settlement book is filtered for quality.
Why the Numbers Look the Way They Do
Public sample of 150 resolved markets entered near 50¢:
| Metric | Value |
|---|---|
| Held-side win rate | 60.7% (91W / 59L) |
| Average entry (held legs) | ~0.50 |
| ROI on capital at resolution | ≈ +24.5% (sample) |
A naïve EV at p ≈ 0.50 is roughly +10.7% of stake before the filtering effect. The higher observed result comes from slightly better average entries on winners plus the fact that weak tickets are removed before resolution.
Fees matter far less at 50¢ than they do at 99¢. The binding constraints are signal accuracy, latency, and fill quality — exactly what the stack is optimized for.
Architecture Summary
TWAP path (60s)
↓
P(up) vs open reference
↓
Fair-band entry (45–55¢) only if edge clears threshold
↓
Re-score every 10–30s
↓
Scratch near flat OR Hold to resolution → redeem
The calibrated 5-minute signal stays private. Publishing it would compete the edge away for everyone. What is public is the architecture, the execution pattern, the wallet, and the on-chain footprint.
If you are building in this space or want to discuss 5-minute microstructure, TWAP calibration, or scratch logic, you know where to find me.Not financial advice. Short-horizon prediction markets remain high-risk. Paper or micro-size first.
If you have more questions, please feel free to contact me at any time: https://t.me/abrownfox001
My Polymarket Activity: https://polymarket.com/@abrownfox001?tab=activity
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