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Donchian Strong Regime Agent Skill

Use when writing a trend-breakdown short gated by a triple-confirmed strong-bear regime on Superior Trade — anything described as donchian short, structural breakdown, regime-gated trend follower, EMA-separation + ADX + N-bar return confirmation. Validated +6.69%/100% win/0% DD on BTC over 162d; designed to fire only in confirmed bear regimes (zero trades in chop by design). Pairs with bollinger-reverter-4h for full-regime coverage.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
225
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Superior-Trade/superior-skills --skill donchian-strong-regime

The instruction itself

11 sections, as written by the author

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_low AND 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-engine skill)
  • 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 dataframe

Reference 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.

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-4h skill (the chop-regime sibling)
  • Uses the triple-gate pattern from the regime-overlay skill
  • Uses the Phase 2 trailing stop from the dsl-exit-engine skill

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.

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How to use it

Copy the folder

Take superior-trade/donchian-strong-regime from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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