Glossary

Start here if the terms are unclear.This glossary explains what ClawsPoly means.

This page explains the terms that shape the site, the strategy story, and the future operating system. The goal is clarity, not insider vocabulary.

First Entry

Speed-Gap v1 first

The first live strategy focuses on short-duration opportunities where external crypto prices move faster than Polymarket reprices. It comes first because it is the clearest, least narrative-dependent edge.

Back to the story path

01

Speed-Gap v1

This is the first strategy ClawsPoly wants to try. It looks for moments when the outside crypto market moves fast, but a Polymarket price has not caught up yet.

Here is the simple version. Imagine Bitcoin moves quickly on big exchanges, but a related Polymarket market still shows an older price for a short moment. ClawsPoly tries to notice that gap before it disappears. It compares fast outside price data to short-duration Polymarket markets and asks, 'Is this market still using the wrong price?' If the answer looks clear, and there is enough liquidity to trade without getting a bad fill, the system may act. If the gap is too small, the data is stale, or trading costs would eat the profit, it does nothing. This strategy comes first because it depends more on speed and clean rules than on guessing stories about the future.

02

Reliability-first

ClawsPoly is built to work safely in the real world before it tries to seem clever.

Reliability-first means the system cares more about being safe and consistent than sounding impressive. It needs clear data, clear rules, emergency stop buttons, and a way to check that its records match what really happened. If something looks wrong, it should stop rather than keep trading blindly. A trading system that talks like a genius but falls apart during real trading is not helping anyone.

03

Risk may veto

Even if a trade looks good, ClawsPoly can still say no.

This is one of the main rules of ClawsPoly. The strategy can spot a possible opportunity, but that does not mean a trade should happen. The risk system checks things like position size, old data, bad spreads, current inventory, and recent losses. If any of those checks look dangerous, the trade is blocked before any order is sent.

04

Fair value

This is ClawsPoly's best guess about what a market price should be right now.

Fair value is the price ClawsPoly believes makes sense after looking at outside data, current market conditions, and trading costs. It does not just trust whatever Polymarket happens to show at that second. Instead, it asks, 'What should this price be if the market were up to date and trading normally?'

05

Explicit exits

Before entering a trade, ClawsPoly should already know why and when it will get out.

A good trade plan includes an exit plan from the start. Maybe the price gap closes. Maybe the market is close to ending. Maybe losses hit a limit. Maybe market conditions change. Maybe the whole system is told to stop. The point is not to hold a position just because you hope it will get better later.

06

Paper mode

This is practice mode: real data and real decisions, but no real money is used.

Paper mode lets ClawsPoly test itself without risking actual money. It watches real markets and runs the same strategy and risk checks it would use in live trading, but it only pretends to place orders. This makes it easier to study what the system would have done and find mistakes before real capital is on the line.

07

Marketable limit order

This is an order meant to fill quickly, but still with a clear price limit.

A limit order says the highest or lowest price you are willing to accept. A marketable limit order is set close enough to the current market that it will probably fill right away, but it still protects you from paying or selling at a worse price than you allowed. This helps ClawsPoly move fast without giving up all price control.

08

Replay

Replay is a way to look back and see exactly what ClawsPoly saw and did.

Replay matters because a serious system should be able to explain itself after the fact. ClawsPoly should be able to show the market data it saw, the signal it found, the risk checks it passed or failed, and the order it sent or did not send. That way people do not have to trust a black box that refuses to explain its behavior.