Polymarket Trading
BlockRunAI/ClawRouter
A skill your agent uses when the user wants to actually PLACE, manage, or redeem bets on Polymarket (not just read odds — that's the blockrunpredexon data tools).
A skill your agent uses when writing a trend-breakdown short gated by a triple-confirmed strong-bear regime — donchian short, structural breakdown, regime-gated trend follower, EMA-separation plus…
Install Donchian Strong Regime
$ npx skills add Superior-Trade/superior-skills --skill donchian-strong-regime -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Superior-Trade/superior-skills donchian-strong-regime --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/donchian-strong-regime .claude/skills/donchian-strong-regime && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "donchian-strong-regime" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/donchian-strong-regime into .claude/skills/donchian-strong-regime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "donchian-strong-regime", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Superior-Trade/superior-skills/tree/main/skills/donchian-strong-regimeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Superior-Trade/superior-skills --skill donchian-strong-regime -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Superior-Trade/superior-skills donchian-strong-regime --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/donchian-strong-regime .agents/skills/donchian-strong-regime && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "donchian-strong-regime" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/donchian-strong-regime into .agents/skills/donchian-strong-regime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "donchian-strong-regime", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Superior-Trade/superior-skills --skill donchian-strong-regime -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Superior-Trade/superior-skills donchian-strong-regime --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/donchian-strong-regime .cursor/skills/donchian-strong-regime && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "donchian-strong-regime" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/donchian-strong-regime into .cursor/skills/donchian-strong-regime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "donchian-strong-regime", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Superior-Trade/superior-skills.git --path skills/donchian-strong-regime--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Superior-Trade/superior-skills --skill donchian-strong-regime -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Superior-Trade/superior-skills donchian-strong-regime --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/donchian-strong-regime .gemini/skills/donchian-strong-regime && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "donchian-strong-regime" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/donchian-strong-regime into .gemini/skills/donchian-strong-regime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "donchian-strong-regime", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Superior-Trade/superior-skills donchian-strong-regimeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Superior-Trade/superior-skills --skill donchian-strong-regime -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/donchian-strong-regime .github/skills/donchian-strong-regime && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "donchian-strong-regime" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/donchian-strong-regime into .github/skills/donchian-strong-regime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "donchian-strong-regime", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Superior-Trade/superior-skills --skill donchian-strong-regime -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Superior-Trade/superior-skills donchian-strong-regime --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/donchian-strong-regime .opencode/skills/donchian-strong-regime && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "donchian-strong-regime" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/donchian-strong-regime into .opencode/skills/donchian-strong-regime/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "donchian-strong-regime", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
donchian-strong-regime- GitHub stars
- 215
- Token cost
- ~1.8k tokens
- SKILL.md length
- 559 words
- Files
- 1
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when writing a trend-breakdown short gated by a triple-confirmed strong-bear regime — donchian short, structural breakdown, regime-gated trend follower, EMA-separation plus…
- Writing a trend-breakdown short gated by a triple-confirmed strong-bear regime — donchian short
- SKILL.md covers Backtest evidence, Thesis, Mechanics and Full strategy code, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Structural breakdown
What it does
Donchian Strong Regime is an agent skill from Superior-Trade/superior-skills. Use when writing a trend-breakdown short gated by a triple-confirmed strong-bear regime — donchian short, structural breakdown, regime-gated trend follower, EMA-separation plus ADX plus N-bar return confirmation. Validated on BTC; fires only in confirmed bear regimes and takes zero trades in chop by design. Pairs with bollinger-reverter-4h.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Trading and backtesting. It works with Circle USDC. The repository describes itself as: Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hyperliquid. The licence is MIT.
When your agent uses it
- Writing a trend-breakdown short gated by a triple-confirmed strong-bear regime — donchian short
- Structural breakdown
- Regime-gated trend follower
- EMA-separation plus ADX plus N-bar return confirmation
Example prompts
- “/donchian-strong-regime”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9d41db5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Donchian Strong Regime loads about 1.8k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 559 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Superior-Trade/superior-skills at commit 9d41db5, republished under its MIT licence (© Superior-Trade). 559 words, ~1,811 tokens.
Download SKILL.mdSave it as
.claude/skills/donchian-strong-regime/SKILL.md (or your agent's skills folder).- name
- donchian-strong-regime
- description
- Use when writing a trend-breakdown short gated by a triple-confirmed strong-bear regime — donchian short, structural breakdown, regime-gated trend follower, EMA-separation plus ADX plus N-bar return confirmation. Validated on BTC; fires only in confirmed bear regimes and takes zero trades in chop by design. Pairs with bollinger-reverter-4h.
- metadata.version
- 0.1.0
- metadata.updated
- 2026-05-18
Donchian Strong-Regime Short
Trend-breakdown short, gated by a triple-confirmed strong-bear regime. Stays out of chop entirely. Validated on BTC/USDC:USDC over 162 days (2025-11-20 → 2026-05-01).
Searchable under: trend follower, breakdown, regime-gated, donchian short, structural break.
Backtest evidence
| Window | Trades | Win rate | Profit | Max DD |
|---|---|---|---|---|
| Full period (162d) | 6 | 100% | +6.69% | 0% |
| First-half / strong bear (82d) | 6 | 100% | +6.69% | 0% |
| Second-half / chop (80d) | 0 | — | 0% | 0% |
The triple-confirmation gate produced zero trades in the rangy second half — exactly the behavior a regime gate should produce. Every fired trade in the first half captured the trailing stop for profit.
Thesis
In a confirmed strong-bear regime (ema separation, ADX, recent momentum all aligned), a close below the 24-bar low (4 days of structure) reliably continues lower. The gate prevents the strategy from firing during sideways/rangy markets where the same signal mean-reverts.
Mechanics
- Pair: validated on BTC/USDC:USDC; expected to behave similarly on other deeply-liquid majors during their own confirmed bear regimes
- Timeframe: 4h (entry signal); 4h trend indicators (regime gate)
- Regime gate (ALL three required):
EMA50 / EMA200 - 1 < -0.06(≥6% separation = deep structural downtrend, not a fresh cross)ADX(14) > 25(trend strength confirmed)close.pct_change(30) < -0.10(last 30 bars = ~5 days, actual downside momentum)
- Entry (short):
close < lowest_24_bar_lowAND regime gate satisfied - Exit (any of):
close > highest_6_bar_high(24h ceiling break — local reversal)- 2 consecutive bars with
RSI > 55(sustained rebound) - Trailing stop fires (Phase 2 — see the
dsl-exit-engineskill)
- Stops: Phase 1 hard stop at -5%; Phase 2 trailing activates at +3%, trails 2% behind peak
Full strategy code
from freqtrade.strategy import IStrategy
import pandas as pd
import talib.abstract as ta
class DonchianStrongRegimeStrategy(IStrategy):
INTERFACE_VERSION = 3
timeframe = "4h"
can_short = True
stoploss = -0.05
trailing_stop = True
trailing_stop_positive = 0.02
trailing_stop_positive_offset = 0.03
trailing_only_offset_is_reached = True
minimal_roi = {"0": 100.0} # disable ROI; trailing + signal exits only
process_only_new_candles = True
startup_candle_count = 220
use_exit_signal = True
def populate_indicators(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
dataframe["lowest_24"] = dataframe["low"].rolling(24).min().shift(1)
dataframe["highest_6"] = dataframe["high"].rolling(6).max().shift(1)
dataframe["ema50"] = ta.EMA(dataframe, timeperiod=50)
dataframe["ema200"] = ta.EMA(dataframe, timeperiod=200)
dataframe["rsi"] = ta.RSI(dataframe, timeperiod=14)
dataframe["adx"] = ta.ADX(dataframe, timeperiod=14)
dataframe["ema_sep"] = (
(dataframe["ema50"] - dataframe["ema200"]) / dataframe["ema200"]
)
dataframe["ret_30"] = dataframe["close"].pct_change(30)
dataframe["regime_strong"] = (
(dataframe["ema_sep"] < -0.06)
& (dataframe["adx"] > 25)
& (dataframe["ret_30"] < -0.10)
)
return dataframe
def populate_entry_trend(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
cond = (
(dataframe["close"] < dataframe["lowest_24"])
& dataframe["regime_strong"]
)
dataframe.loc[cond, "enter_short"] = 1
dataframe.loc[cond, "enter_tag"] = "donchian_strong_bear"
return dataframe
def populate_exit_trend(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
cond = (
(dataframe["close"] > dataframe["highest_6"])
| ((dataframe["rsi"] > 55) & (dataframe["rsi"].shift(1) > 55))
)
dataframe.loc[cond, "exit_short"] = 1
return dataframeReference config
{
"exchange": {"name": "hyperliquid", "pair_whitelist": ["BTC/USDC:USDC"]},
"stake_currency": "USDC",
"stake_amount": 100,
"dry_run_wallet": {"USDC": 150},
"timeframe": "4h",
"max_open_trades": 1,
"minimal_roi": {"0": 100.0},
"stoploss": -0.05,
"trading_mode": "futures",
"margin_mode": "isolated",
"entry_pricing": {"price_side": "same", "price_last_balance": 0.0},
"exit_pricing": {"price_side": "same", "price_last_balance": 0.0},
"pairlists": [{"method": "StaticPairList"}]
}Honest framing
This strategy only fires during confirmed strong-bear regimes. In bull markets, sideways markets, and weak bears it will trade rarely or not at all — by design. Do not "improve" by loosening the gate; the loose-gate version (without triple confirmation) lost money in the same window.
The 100% backtest win rate is partly a function of sample size (6 trades). The honest expectation is ~60-75% win rate with similar expectancy when the gate is properly confirmed across longer windows.
Pair this strategy with bollinger-reverter-4h (the chop-regime sibling) for full-spectrum coverage — they fire on mutually exclusive regimes.
Show full SKILL.md (207 more words)Show less
Tunables
| Parameter | Range | Effect |
|---|---|---|
| Regime EMA separation | -0.04 to -0.08 | Looser = more trades, more chop noise; tighter = fewer, cleaner |
| Regime ADX threshold | 20 - 30 | Higher = more selective trend confirmation |
| Regime return lookback | 20 - 40 bars | Window for "actual momentum" check |
| Donchian lookback (low) | 18 - 36 | Length of structural floor |
| Exit lookback (high) | 4 - 8 | Tighter exit = faster wins, more giveback |
| Trail activate | 0.02 - 0.04 | Where Phase 2 kicks in |
| Trail offset | 0.015 - 0.025 | Tightness once activated |
Known failure modes
- Fresh bear regimes that haven't yet triggered the 30-bar return < -10% threshold: strategy waits until momentum is established, missing the first leg
- Whipsaw within a strong bear: a sharp counter-rally past the 6-bar high exits the trade right before the resumption. This is the price of having tight exits
- Alts with low liquidity: Donchian lows can be set by a single liquidation wick; restrict to majors
Pairing
- Designed to coexist with the
bollinger-reverter-4hskill (the chop-regime sibling) - Uses the triple-gate pattern from the
regime-overlayskill - Uses the Phase 2 trailing stop from the
dsl-exit-engineskill
Deployment recommendation
Run as its own sub-account so the regime gate's "trade nothing for weeks" behavior doesn't fight a mean-reversion strategy in the same wallet. See your Superior Trade account setup for sub-accounts.
© Superior-Trade, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/donchian-strong-regime of Superior-Trade/superior-skills.
Open the folder on GitHubat commit 9d41db5
Compare with similar skills
Donchian Strong Regime next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Donchian Strong Regime this skillSuperior-Trade/superior-skills | 215 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Polymarket TradingBlockRunAI/ClawRouter | 6.6k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Solana Payments Wallets Tradingnpc-live/clawfirm | 156 | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Nansen Tradingnansen-ai/nansen-cli | 139 | — | ~3.3k | Automated safety check: Notes | MIT | |
| Shipp Sports Datamoonpay/skills | 113 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Aomi Transactjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.3k | Automated safety check: Pass | MIT |
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Questions about Donchian Strong Regime
What does Donchian Strong Regime do?
A skill your agent uses when writing a trend-breakdown short gated by a triple-confirmed strong-bear regime — donchian short, structural breakdown, regime-gated trend follower, EMA-separation plus…. Donchian Strong Regime is an agent skill from Superior-Trade/superior-skills. Use when writing a trend-breakdown short gated by a triple-confirmed strong-bear regime — donchian short, structural breakdown, regime-gated trend follower, EMA-separation plus ADX plus N-bar return confirmation.
When should I use Donchian Strong Regime?
Donchian Strong Regime fits situations like: writing a trend-breakdown short gated by a triple-confirmed strong-bear regime — donchian short; structural breakdown; regime-gated trend follower; EMA-separation plus ADX plus N-bar return confirmation.
How do I install Donchian Strong Regime in Claude Code?
Run `npx skills add Superior-Trade/superior-skills --skill donchian-strong-regime -a claude-code`. Or copy the skill folder (skills/donchian-strong-regime in Superior-Trade/superior-skills) into .claude/skills/donchian-strong-regime in your project. Claude Code loads it when a task matches its description.
How do I install Donchian Strong Regime in Codex?
Run `npx skills add Superior-Trade/superior-skills --skill donchian-strong-regime -a codex`. Or copy the skill folder (skills/donchian-strong-regime in Superior-Trade/superior-skills) into .agents/skills/donchian-strong-regime in your project. Codex loads it when a task matches its description.
Can I use Donchian Strong Regime in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Superior-Trade/superior-skills --skill donchian-strong-regime -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/donchian-strong-regime, .gemini/skills/donchian-strong-regime, .github/skills/donchian-strong-regime and .opencode/skills/donchian-strong-regime in your project.
What does Donchian Strong Regime need to run?
SKILL.md names no scripts, command-line tools or credentials: Donchian Strong Regime is instructions for the agent only. Our summary lists: Python 3.
Does Donchian Strong Regime access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Donchian Strong Regime safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Donchian Strong Regime use?
Donchian Strong Regime is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Donchian Strong Regime use?
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Donchian Strong Regime?
Skills that share tags, products or a category with Donchian Strong Regime: Polymarket Trading (BlockRunAI/ClawRouter, 6.6k stars), Solana Payments Wallets Trading (npc-live/clawfirm, 156 stars), Nansen Trading (nansen-ai/nansen-cli, 139 stars) and Shipp Sports Data (moonpay/skills, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Donchian Strong Regime?
Superior-Trade (a GitHub organization) maintains it in Superior-Trade/superior-skills, which has 215 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 10, 2026.
Source: Superior-Trade/superior-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.