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Ape Wisdom

idea_01KQ1HEFH9X7Y9EKRA74X7Y9EK
Idea thread
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Campaign rolled up
A Lab job for this idea has rolled up into a campaign. Review the equity swarm + leaderboard before nominating; run more jobs across regimes if acceptance criteria need cross-regime evidence.
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Thesis
The plan is simple. We start by targeting stocks that are trending in places like r/wallstreetbets and similar circles on X (also monitored by sites like apewisdom.com) and perform technical analysis on hot candidates in the dataset to target which ones still hold an edge and haven’t been fully priced in yet. Some may be large well known companies which we should pay attention to, but I think there’s a lot of gain we can find from the newer stocks on that appear so long as we don’t get greedy. This strategy will consistently sweep apewisdom’s top 100 and filter them out by ones with a high likes to mentions ratio, and those whose current trading volume is within a standard deviation from its average 30 day volume to help weed out ones that have already moved considerably. We can then look at the RSI, several other moving average indicators to fine tune further and then perform market research on the remainders. Also sets reasonable sell limits to enjoy healthy gain without getting greedy.
StrategySpec
REGISTEREDspec_01KQG8T24H2BDA83JECC2BDA83 · v3Apr 30, 2026, 10:41 PM
Primary signal is constructed from the apewisdom_top100 feed. Each daily sweep ranks the top-100 tickers by a composite attention score: (1) likes-to-mentions ratio (upvote ratio from the feed) must exceed a threshold (e.g., top tercile of the current sweep), and (2) current-day trading volume must be within ±1 standard deviation of the ticker's trailing 30-day average daily volume (ADV), computed from OHLCV bars. Tickers passing both filters enter a technical refinement layer: RSI(14) must be between 40 and 65 (not overbought, not in freefall), price must be above its 20-day SMA, and the 9-day EMA must be above the 21-day EMA (short-term momentum confirmation). Survivors of all filters constitute the daily candidate set. Conviction Score: Each surviving ticker is assigned a continuous conviction score C ∈ [0, 1] composed of three sub-signals, equally weighted by default (weights are sweep parameters): - Sentiment strength (0–1): normalized likes-to-mentions ratio percentile rank within the current sweep's top-100. - Technical alignment (0–1): composite of RSI proximity to 50 (peak score at RSI=52), EMA spread magnitude (9-EMA minus 21-EMA as % of price), and SMA distance (price % above 20-day SMA). - Earnings proximity modifier: if an earnings announcement is within 5 calendar days (before or after entry), apply a dampening multiplier of 0.6 to C to reflect two-way event risk. If earnings are 6–15 days out, apply a mild dampening of 0.85. Beyond 15 days, no adjustment. Optionally, a manual market-research gate can be applied by the operator before order submission.
Entry
Enter long at next-day market open for any ticker that clears all signal filters on the prior day's sweep. Position sizing is equal-weight across all candidates, subject to a maximum of 10 simultaneous open positions. Minimum liquidity gate: ADV must exceed $1M (derived from OHLCV volume). No leverage. No short positions. New entries are only taken if the portfolio has available cash allocation. The conviction score C is computed at entry and stored with the position record; it is used to set dynamic exit targets (see exit rules).
Exit
Exit targets are dynamically set at entry using the conviction score C ∈ [0, 1]: - Profit target: PT = 12% + (C × 16%), yielding a range of +12% (low conviction) to +28% (high conviction). Implemented as a limit order placed at entry. - Stop-loss: SL = 7% + (C × 5%), yielding a range of -7% (low conviction) to -12% (high conviction). Higher conviction justifies a slightly wider stop to avoid shaking out on noise. Implemented as a stop order placed at entry. - Both orders are placed as a bracket at entry and updated if C is recalculated on a subsequent day (e.g., if the operator re-runs the sweep mid-hold). Time-based exit: if neither target nor stop is hit within 15 calendar days, exit at market open on day 16. Sentiment deterioration exit: if a ticker drops out of the apewisdom_top100 entirely for 3 consecutive days while the position is open and is below entry price, exit at next open. Re-entry into the same ticker is permitted only after a full exit and a minimum 3-day cooling-off period.
Data-readiness warnings: - earnings_calendar: MISSING - Non-core in v1 — earnings proximity dampener can be applied manually via operator review gate. Flag for v2 automation. Does not block. - headline_sentiment: MISSING - No news connector wired into the Lab. Alpaca news feed / NewsAPI are v2 candidates. Not included as a core signal. Does not block. Data-readiness warnings: - earnings_calendar: MISSING — Required for the earnings proximity conviction modifier. Not wired into the Lab. Marked non-core because the dampener can be applied manually via the operator review gate in v1; automated use would require a connector. Flag as v2. - headline_sentiment: MISSING — No news connector is currently wired into the Lab pipeline. Alpaca news feed and NewsAPI free tier are v2 candidates. Cannot be included as a core signal. Flag for future integration when a connector lands. apewisdom_top100 coverage begins 2024; backtest window is therefore limited to ~2 years. Operator should acknowledge this constraint and not over-fit on a short sample. The manual market-research gate described in the thesis is supported as an optional operator review step before order submission but cannot be automated or backtested. Sentiment deterioration exit requires daily re-scoring of open positions against the apewisdom feed — ensure the pipeline re-runs the sweep for held tickers even when no new entries are triggered. ADV, volume z-score, RSI, SMA, and EMA are all derived from alpaca_equity_ohlcv; no separate data feed is needed. Earnings dates must be sourced for the earnings proximity modifier — Alpaca asset metadata does not provide point-in-time earnings calendars; operator should wire a free earnings calendar source (e.g., Nasdaq earnings calendar, EOD Historical Data free tier) or apply the dampener manually during the operator review gate.
Legacy spec seed
Data sources
ApeWisdom, yfinance, alpaca, others
Exit rules
At a reasonable profit percentage based on bullish conviction. Higher percentage exit target when bull conviction is high and lower percentage when conviction is low.
Strategy
jacob_ape_wisdom_momentum
Family
APE_WISDOM_MOMENTUM
Sleeve
STOCKS
Source
MANUAL
Created by
jacob
Created
Apr 25, 2026, 5:22 AM
Promotion slot
Not assigned
This idea has no promotion slot yet. Nomination stays disabled on any spawned campaign until you assign one — either here or via the 'Assign promotion slot' action on the campaign detail page.
Params
{
  "spec": {
    "data_sources": "ApeWisdom, yfinance, alpaca, others",
    "exit_rules": "At a reasonable profit percentage based on bullish conviction. Higher percentage exit target when bull conviction is high and lower percentage when conviction is low."
  }
}
Run history
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