Trend new_20d_low

20-Day New Low

Triggers when price makes a new N-day low with a red candle (close <= open). Bearish only — use '20-Day New High' for bullish.

Signal family

Trend — Signals that fire when price is continuing or reversing an established directional move. Momentum-following by nature.

Parameters

Name Description Default Range
period Lookback period (days) 20 5–252

Historical context

536,123 valid triggers on 3,409 distinct tickers between 2015-02-17 and 2026-04-22. Universe: us_only · mcap ≥ $100,000,000 · price ≥ $1 (3,412 tickers). Entry at open T+1. 1d = intraday T+1; 20d = open T+1 to close T+20.

Benchmarks: spxew (S&P 500 Equal Weight — the primary benchmark here; a median-stock view that avoids the 2020+ megacap-concentration distortion), spx (S&P 500, cap-weighted), and msci (MSCI World USD). Per-stock regime: trending = ADX(14) ≥ 25, high vol = 20d ann. vol ≥ 20%.

At a glance (20d alpha vs S&P 500 Equal Weight, US-only)

Bearish (negative alpha = signal right)
+0.18%
vs random-date null: beats random (pperm=0.005)

20-Day New Low is a single-direction signal — only the bearish side is meaningful. (The trigger condition only describes one side of the move.)

Reading this: the random-date null is: for each ticker, sample N random dates and compute the same alpha — what alpha does a signal with no information produce? If the signal's observed alpha beats the null (pperm≤0.05), it's adding real information. If it's inside or worse than the null, the signal doesn't add value over random firing — any observed alpha is either noise or a universe artifact.

How often does NEW_20D_LOW fire in each regime?

The signal's bucket distribution is itself informative. If 50%+ of all NEW_20D_LOW triggers fire in the "non-trending + high vol" quadrant, the signal is structurally a chop-market event — regardless of what its textbook definition claims. Bullish and bearish are shown separately; counts are across the full US-only sample after the mcap and price floor.

20-Day New Low (new_20d_low) — trigger count distribution by per-stock regime quadrant (trending/non-trending × high/low realized volatility) for , US-only universe

Per-stock regime quadrant — 20d alpha

Each trigger is tagged with the host stock's own technical regime on the trigger date: is the stock itself in a trend (ADX(14) ≥ 25) or ranging? And is its realized 20-day volatility high (≥ 20% annualized) or low? This is the textbook conditioning variable — "does this signal work better in trending stocks?" — answered at the level of the individual stock, not the market. Positive bars are good for the signal; negative bars mean alpha vanishes into the benchmark or worse.

20-Day New Low (new_20d_low) — mean 20-day alpha versus S&P 500 Equal Weight by per-stock regime quadrant,  side by side
Trending + Low vol
Stock in a clean directional move with low realized volatility. Textbook "trend-following paradise" — smooth grind with little whipsaw risk.
Trending + High vol
Violent directional moves — parabolic rallies, crisis selloffs. Trend exists but the path is noisy. Signal timing may be imprecise.
Non-trending + Low vol
Quiet chop, summer doldrums, consolidations. No directional bias but also no big swings — small edges become reliable if they exist at all.
Non-trending + High vol
Choppy and violent — the classical "whipsaw zone" for momentum signals. Crossovers and breakouts fire repeatedly without follow-through.

Sub-period check — does the signal work in every era?

A multi-year average can hide major instability. We split the sample into three non-overlapping windows: 2015–2019 (pre-COVID, normalized monetary policy), 2020–2022 (pandemic crash + recovery + rate-shock bear), and 2023+ (post-ZIRP, AI megacap rally). If a signal's alpha is positive overall but comes entirely from one era, that's a red flag — the conditions that produced it may not repeat. A robust signal shows a consistent sign across all non-empty buckets.

20-Day New Low (new_20d_low) — 20-day alpha split by historical sub-period (2015-2019, 2020-2022, 2023+) to check consistency across market regimes

↓ Bearish triggers negative alpha = signal was right (stock underperformed market)

Bench Metric 1d 5d 20d 60d 252d
spx Stock % +0.01% +0.17% +1.07% +3.69% +13.65%
Bench % +0.04% +0.22% +1.14% +3.61% +14.51%
Alpha % -0.04% -0.04% -0.03% +0.07% -0.87%
Median alpha -0.04% -0.15% -0.52% -1.63% -9.45%
Hit rate (α>0) 49.0% 48.4% 47.4% 45.6% 39.1%
p (naive) <0.001 <0.001 0.0739 0.0224 <0.001
p (HAC) <0.001 0.0009 0.3777 0.4114 0.0213
N 535,815 535,237 531,698 519,266 479,035
msci Stock % +0.01% +0.17% +1.07% +3.69% +13.65%
Bench % -0.01% +0.12% +0.94% +3.27% +12.42%
Alpha % +0.02% +0.04% +0.16% +0.47% +1.23%
Median alpha -0.02% -0.10% -0.35% -1.26% -7.30%
Hit rate (α>0) 49.5% 49.0% 48.3% 46.6% 41.5%
p (naive) <0.001 <0.001 <0.001 <0.001 <0.001
p (HAC) <0.001 0.0007 <0.001 <0.001 0.0011
N 534,382 531,782 527,752 515,397 475,999
spxew Stock % +0.01% +0.17% +1.07% +3.69% +13.65%
Bench % +0.06% +0.16% +0.86% +3.08% +10.88%
Alpha % -0.05% +0.03% +0.18% +0.58% +2.82%
Median alpha -0.06% -0.10% -0.32% -1.09% -5.81%
Hit rate (α>0) 48.4% 48.9% 48.4% 46.9% 42.8%
p (naive) <0.001 0.0009 <0.001 <0.001 <0.001
p (HAC) <0.001 0.0159 <0.001 <0.001 <0.001
N 532,529 529,356 524,792 513,638 473,458
Distribution of all 20d alpha outcomes for this direction. Median and winsorized mean shown.
20-Day New Low (new_20d_low) — bearish 20-day alpha histogram showing distribution of per-trigger returns
Observed 20d alpha (vertical line) against the null distribution of random-date firing. If the line is deep inside the null cloud, the signal adds no information. If it sits in a tail, the signal is doing real work in that direction.
20-Day New Low (new_20d_low) — bearish 20-day observed alpha versus random-date permutation null (200 iterations)
Permutation null detail — all horizons × both benchmarks
200-iteration null: for each ticker, sample N random dates from its history (matching observed trigger count) and compute the same alpha. The null distribution's 95% CI is where a signal with no information would land. pperm = one-sided fraction of null iters with mean ≥ observed.
Horizon Bench Observed α Null mean Null 95% CI pperm
1d spx -0.04% -0.01% [-0.03%, +0.13%] 0.010
1d msci +0.02% -0.04% [-0.06%, +0.11%] 0.935
1d spxew -0.05% -0.04% [-0.06%, +0.11%] 0.194
5d spx -0.04% +0.48% [+0.13%, +0.89%] 0.005
5d msci +0.04% +0.49% [+0.13%, +0.91%] 0.010
5d spxew +0.03% +0.51% [+0.16%, +0.93%] 0.005
20d spx -0.03% +0.58% [+0.24%, +1.03%] 0.005
20d msci +0.16% +0.70% [+0.37%, +1.15%] 0.005
20d spxew +0.18% +0.77% [+0.44%, +1.22%] 0.005
60d spx +0.07% +0.86% [+0.51%, +1.32%] 0.005
60d msci +0.47% +1.32% [+0.96%, +1.78%] 0.005
60d spxew +0.58% +1.54% [+1.18%, +2.00%] 0.005
252d spx -0.87% +0.95% [+0.54%, +1.46%] 0.005
252d msci +1.23% +3.27% [+2.87%, +3.78%] 0.005
252d spxew +2.82% +4.64% [+4.23%, +5.16%] 0.005

Example triggers on US large-caps (2023+, mcap ≥ $30B)

Six recent bearish NEW_20D_LOW triggers on US mega-caps, filtered to |alpha| ≤ 25% to exclude catalyst-driven outliers (earnings surprises, M&A, binary events). The first three are the strongest outcomes — what the signal looks like when it works. The last three are the weakest — what the signal looks like when it fails. Each chart shows the stock's price with signal-appropriate technical overlays (e.g. MACD subpanel on MACD pages, Bollinger Bands on Bollinger pages, the 52-week trailing max line on 52w-high pages), a dot marking the trigger date, and the forward window shaded (green when the signal was right, red when it wasn't). Click any chart to open full-size.

Strongest outcomes (what NEW_20D_LOW looks like when it works)
Weakest outcomes (what NEW_20D_LOW looks like when it fails)
Stock-regime quadrants (2×2 per-stock, 20d alpha detail table)
Each quadrant groups triggers by the stock's own ADX(14) and RV(20) at the trigger date — the textbook conditioning variable (not market-level). Stock %, bench %, alpha %, and HAC p-value shown for each benchmark.
Quadrant N Stock % (spx) Bench % (spx) Alpha % (spx) p (HAC) Stock % (msci) Bench % (msci) Alpha % (msci) p (HAC) Stock % (spxew) Bench % (spxew) Alpha % (spxew) p (HAC)
Trending + Low vol Clean directional grind, low whipsaw 44,427 -0.10% +0.69% -0.76% <0.001 -0.10% +0.49% -0.56% <0.001 -0.10% +0.38% -0.45% <0.001
Trending + High vol Crisis selloff or parabolic rally 184,845 +1.59% +1.42% +0.21% 0.0020 +1.59% +1.19% +0.45% <0.001 +1.59% +1.02% +0.49% <0.001
Non-trending + Low vol Quiet chop, summer doldrums 56,974 +0.11% +0.75% -0.60% <0.001 +0.11% +0.52% -0.39% <0.001 +0.11% +0.43% -0.28% <0.001
Non-trending + High vol Classical "whipsaw zone" for momentum 249,876 +1.18% +1.13% +0.10% 0.0352 +1.18% +1.01% +0.26% <0.001 +1.18% +0.97% +0.23% <0.001
Sub-period breakdown table (20d alpha)
Historical clustering check. If alpha concentrates in one era, the signal's robustness is questionable.
Period N Alpha % (spx) p (HAC) Alpha % (msci) p (HAC) Alpha % (spxew) p (HAC)
2015-2019 2015-01-01 → 2020-01-01 152,933 +0.46% <0.001 +0.70% <0.001 +0.42% <0.001
2020-2022 2020-01-01 → 2023-01-01 176,446 -0.04% 0.5468 +0.21% 0.0013 -0.11% 0.1048
2023-2026 2023-01-01 → 2099-01-01 206,744 -0.38% <0.001 -0.28% <0.001 +0.27% <0.001

Methodology and caveats

How to read. Entry at open of T+1 (one trading day after the signal fires on close of T). 20d = open T+1 to close T+20. Alpha = stock return − benchmark return over the same window (Convention A, single-sided, textbook). For bullish triggers, POSITIVE alpha = signal was right. For bearish triggers, NEGATIVE alpha = signal was right (stock underperformed market). No sign-flipping; the direction of the bet determines what "good" looks like. Per-stock regime is each stock's own ADX(14) and RV(20) at the trigger date — not market-wide state.

Three p-values, three robustness tests. (a) p_naive: scipy one-sample t-test on winsorized alphas. Optimistic because overlapping 20d windows on the same ticker inflate effective N. (b) p_hac: Newey-West HAC with lag = horizon — corrects for the overlap and is the academic-finance standard. (c) p_perm: fraction of 200 random-date null iterations with mean ≥ observed. Tests whether the signal beats random date selection at all. A signal that clears all three (pnaive, phac, pperm all < 0.05) has real information; a signal that fails pperm has zero edge even if the t-test says "significant."

Caveats. (i) Universe reflects today's active tickers; delisted losers pruned → survivorship bias. (ii) Mcap ≥ $100M filter uses today's snapshot, not point-in-time — mild lookahead on which stocks enter the sample, not on returns. (iii) Means and p-values use winsorized alphas (1/99 percentile) to prevent data errors from dominating. Medians and hit rates use raw data. (iv) Zero transaction costs assumed. Realistic bid-ask + commissions remove 20–40bps from 20d alpha on US large-caps, more on small-cap. Sub-20bps alpha is noise in practice. (v) Past performance does not predict future results.

How to use this

1 · When to reach for this signal

Neutral signal. Bullish 20d alpha —, bearish -0.03%. Neither direction beats random date selection (pperm not significant either way). Observed alpha is likely noise or universe drift rather than information about the trigger. Useful for context, not for standalone entries.

2 · When it works — the setups that drive it

  • Best bearish setup: Trending + High vol — alpha +0.21% / 20d on 184,845 historical triggers.
  • Best era for bearish: 2015-2019 — alpha +0.46% / 20d.

3 · When it fails — common false positives

  • Weakest bearish cell: Trending + Low vol — alpha -0.76% / 20d on 44,427 triggers.
  • Worst era for bearish: 2023-2026 — alpha -0.38% / 20d.

Signal-specific failure patterns

Point-estimate alpha is tiny but p_perm is significant — subtle edge
Bearish 20d new low delivers α=−0.03 at 20d (p(HAC)=0.38 non-sig) but p_perm=0.005 — meaning the observed value sits in the LEFT tail of the permutation null distribution. Translation: random-date firing in the same universe would have produced higher alpha than −0.03. The signal does pick stocks that are marginally weaker than the market, just by a small amount.
evidence: bearish 20d α=−0.03 p_hac=0.38 p_perm=0.005
Strong period dispersion — worked in 2023-2026, failed in 2015-2019
Sub-period: 2015-2019 α=+0.46 (signal fails — new lows bounced), 2020-2022 α=−0.04, 2023-2026 α=−0.38 (signal works cleanly). The edge has emerged over the last 3 years. Plausible story: in a market concentrated in megacap winners, the stocks making fresh 20d lows ARE the ones being left behind, and that underperformance persists.
evidence: bearish 20d vs SPX by period: +0.46, −0.04, −0.38
60d alpha flips positive — the bounce eventually comes
At 60d the alpha swings to +0.07 (p_hac=0.41 non-sig, but wrong direction under Convention A). The short-term weakness does revert over 2-3 months. Optimal horizon is 20d; longer holds give back the edge.
evidence: bearish 60d α=+0.07 (wrong direction vs bearish thesis)

4 · Pairing inside a screen

The statements below describe how this signal relates to others by construction — which indicator family it belongs to, and where same-family redundancy might reduce the independence of evidence inside a Daily Report. These are taxonomic classifications drawn from standard technical-analysis texts; they are not pairing backtests. A multi-signal convergence backtest is planned but not yet run.

Breakdown-family redundancy

New 20-day low, new 52-week low, and fresh 52-week low are breakdown signals at different lookbacks — all fire when price falls below the minimum of the prior N bars (Edwards & Magee, Technical Analysis of Stock Trends, 11th ed. 2018; Kirkpatrick & Dahlquist, Technical Analysis, 3rd ed. 2015; Bulkowski, Encyclopedia of Chart Patterns, 3rd ed. 2021). Stacking two or more in the same direction within a single Daily Report produces correlated rather than independent evidence.

What would likely rescue this signal

This block calls out the data or conditions that could turn a technically weak signal into a usable one in a composite screen. Based on signal mechanics and the observed failure patterns above; individual combinations are not yet backtested.

  • Time-limit the hold to 20-30 days maxPast 20d, alpha reverts. A strict 20d time stop preserves the signal's edge.
  • Pair with trend filterNew 20d low in an uptrend is noise; in a downtrend is continuation. 50DMA filter separates the two populations cleanly.

See also Why technical-only signals don't survive on their own for the broader argument.

5 · Before you act — a 5-point checklist

  1. Normal trading day? Rule out earnings (within ±3 days), ex-dividend, or known corporate-action dates — the signal is almost certainly reading noise, not momentum, in those windows.
  2. Where is price vs its own 50 / 200 DMA? A trend signal is only as credible as the underlying trend it claims to confirm. Check the 200DMA orientation before acting.
  3. What's the sector breadth doing? An isolated signal in a broadly down-trending sector is a lower-confidence setup than one firing with the rest of its peer group.
  4. Is ADV20 enough for your size? If the trigger is on a $500M name and you want to move $1M notional, you're the tape. Consider adv20d ≥ 5% of your intended position.
  5. What invalidates you? Define a price level (for longs: a close below the trigger-day low; for shorts: close above the trigger-day high) and honor it. The backtest alpha is an average; any one trade can be at either tail.

Execution notes

20d horizon is the tradable window; the edge reverses by 60d. Entry open T+1, exit within 20 sessions. The signal is subtle — point-estimate alpha is tiny but the permutation null confirms it's a real effect. Most useful as a universe-filter for short candidates; pair with structural filters for directional conviction.