Video summary

Day Trading Signal Services are they Good or Bad ? = Depends

Main summary

Key takeaways

Finance

Finance-Focused Overview

The speaker reviews day-trading “signal/bot trading” services, emphasizing that results depend heavily on matching:

  • The trader’s style
  • The follower’s own risk management
  • The follower’s bot parameters, especially for penny stocks where stops are often very wide.

Services / Tooling Mentioned

  • NSVST / NVST (spelled inconsistently in subtitles) A platform where users can view historical trades with:

    • entries/exits
    • closed positions
    • timestamps

  • Bot trading / “hook up” bots Lets users auto-execute signals from selected traders.

  • Following traders via:

    • NSB / NVSTY subscribe and follow
    • Joining the “Rugpole gang”, which appears connected to a Cobra trading account

Key Traders and Performance Claims (Mostly Day-Trading)

The speaker highlights multiple traders available through the platform/bot ecosystem and compares trading schedules and risk behavior.

“Breaking Bad”

  • Average trade length: ~7 hours
  • Most trades occur: ~4:00 a.m. to 6:00 a.m.
  • Reported performance: high double/triple-digit returns (several figures are shown, but mapping to exact metrics is unclear)
  • Presenter caution:
    • Not for everyone
    • Requires being up early and having bots configured properly

“Moneybags”

  • Described as high variance
  • Concerns raised:
    • Warnings about ~200% losses occurring more often than expected
    • Some trades reportedly went beyond 200% (not necessarily stopped out at the same level)
  • Trading frequency: very frequent (subtitles suggest >54 trades/day at times)
  • Risk-management emphasis: you must match their money management/scaling style or your results will likely diverge.

“Short squeeze” / “RPG Group” owner

  • Mostly long positions
  • The speaker suggests the style may resemble swing trading because positions appear to persist longer
  • Caution: confirm the trader’s holding period fits your “day trading” expectations

Other Named Traders / Room Members

Nicknames mentioned include:

  • “Short blitz traders”
  • “Penny Rocket”
  • “Rash” (also appears as “Water Monkey,” “Sharkless Trader,” and variants)
  • “Q Sam”

The speaker claims top-10 traders are from the RPG trade room / RPG group.

Trading Framework / Methodology Shared

1) Multi-Timeframe Gap / Price-History Analysis (Penny Stocks)

Core belief: multi-timeframe analysis matters for penny stocks.

Process described:

  • Use a scanner/alerts to find a “stock popping up” (example: mentions Moneybags Discord alerts)

  • In pre-market, evaluate gap behavior:

    • history of gap-ups
    • gap-up failures
  • Look back up to ~500 days (when needed) to estimate:
    • maximum/average gap size
    • whether past gap-ups “closed green” vs “failed”
  • Use multiple intraday timeframes (example: 15-minute and 30-minute charts)
  • Assess “character” of the stock and broader dynamics (market maker behavior is implied)

2) Wide Stops Due to Penny Stock Volatility

  • The speaker states their approach uses wide stops in the 150–200% range.
  • Rationale: penny stocks are extremely volatile; wide stops are framed as “the only way.”

3) Scaling In (Not All-In / All-Out)

The speaker does not believe in “all-in/all-out.”

Framework:

  • Start with a starter size

  • Add only as price action confirms the thesis (based on volume/VWAP/levels)

  • “Never add more than three times” (stated later)

  • Goal: reduce stress and avoid being fully sized before confirmation

4) Risk Cap Based on “Percentage of Risk”

Example explanation:

  • “Risking 150%” means risking 150% of the predefined risk amount, not necessarily 150% of account value.

Example provided:

  • $100,000 account
  • Risking $5,000 per trade
  • Losing ~$7,500 corresponds to the speaker’s “150%” concept (subtitles suggest approximate math like “potentially lose $7,000”)

Emphasis: you must understand each trader’s scaling behavior to avoid oversizing.

5) Example Trade Triggers (CDT Example)

Examples cited include:

  • VWAP
    • bounces off VWAP
    • then “smash through VWAP”
  • Intraday rejection levels / high-of-day rejects
  • Volume
    • “volume’s just gone… trade is dead”
  • “Float vs average volume” and volume nodes
    • example: a “low volume node” around a 156 level (as referenced)

Key Numbers and Performance Metrics Mentioned

NSVST / NVSTY Trade Example Metrics

  • Example trade referenced:
    • “Short CTM 125” and exit “BUC…” (symbols/tokens garbled in subtitles)
  • Reported result: ~19% profit (explicitly stated)

Gap Statistics (Example Context: APWC / CDT)

  • APWC: noted as “up” in pre-market (no numeric gap stated)
  • Another gap context (CDT or similar) included:
    • maximum gap: ~93%
    • average gap: ~54%
    • 0% of gap-ups closed green from the gap open (they all “failed”)
    • average gap up average high from open: ~98%
  • Another moment cited:
    • stock up ~106% vs average/likely range (used to justify confidence/sizing)

Stop/Entry Reference Values (CDT Example)

  • Starter entry area around 134

  • Stop referenced around 200% above entry (subtitles included “about 330”)

  • Speaker avoided losing more than ~150% of risk

  • Stop “probably” above 302 (CDT example)

Performance Claims (Account Growth Style)

  • Speaker (June): up ~690% Clarified as risk-based, not necessarily direct account doubling math.

    • Example math given: if risk is $5,000 per trade, then $5,000 × 690% ≈ $34,000 on a $100k account.
    • “Breaking Bad”: up ~2,836% Also framed as risk-based with rough math shown.

Recommendations / Cautions (Risk Management)

  • Do not blindly copy a trader/signal:
    • match the trader’s style
    • match your bot settings
    • otherwise you risk oversizing and getting “smashed”
  • High variance is expected for some traders (notably Moneybags):
    • prepare for ~200% losses and possibly worse
  • Time-of-day mismatch matters:
    • “Breaking Bad” trades are mostly 4–6 a.m.
    • following them in daytime without automation is difficult
  • For bot followers:
    • ensure bot parameters align with each trader’s:
      • entry frequency
      • scaling behavior
      • stop-loss / max-loss rules

Disclaimers / Disclosures

  • No clear formal “not financial advice” disclaimer appears in the provided subtitles.

Tickers / Instruments Mentioned (As Readable From Subtitles)

  • RPG Group (ticker not given; appears to be a brand/company name)
  • APWC (explicit)
  • CDT (explicit)
  • CRBO (explicit)
  • Cobra (platform/account referenced, not a ticker)

Other items mentioned but not reliably readable as tickers:

  • “CTM 125”, “BUC” (unclear)
  • “EVWAP” (almost certainly “VWAP” with an extra character; treated as not reliably a ticker)

Presenters / Sources Mentioned

  • The main speaker (unnamed) describing/assessing trades and approach
  • Rich (owner of the NSVST service)
  • Traders referenced by nicknames:
    • Breaking Bad
    • Moneybags
    • Short squeeze (described as an “RPG Group” owner per subtitles)
    • Rash
    • Q Sam
    • Water Monkey
    • Sharkless Trader
    • Penny Rocket
    • “Short blitz traders”
    • RPG trade room members / top 10 (group referenced without further identities)
  • Cobra (platform/account referenced for bot execution)

Original video