Video Summary - HenryF verspricht 10.000€/Monat

Finance-focused summary (strategy backtest & results)

Core claim being tested

Crypto trader Henry Frampong allegedly promises €10,000/month using a strategy called “Vervu Gap / Verwell (Fairvalue/Fair Vue) Gap.”
Claimed performance: win rate 40%–70%.
Important caveat from the tester: Henry does not provide backtesting tests/figures himself; the backtest figures were “missing,” so the presenter runs an independent test.

Instruments / tickers / markets used in the backtests

Tested across three independent markets:

Crypto: Ethereum (ETH)
- Leverage: 100X on crypto exchanges (reduced for regulated brokers).
Forex: EUR/USD
Stocks/indices: S&P 500
- Used as the “instead of capital” index/benchmark.

Later expanded universe for additional automated runs:

US Dollar Fund (unclear exact ticker/ETF in subtitles)
NetStag (unclear exact ticker/asset in subtitles)
“E” again as the crypto representative (unclear whether this means ETH or another crypto symbol)

Backtesting framework / methodology

Data, simulation realism, tooling

Backtest performed with Forex Tester
Uses real tick data and realistic spreads
Uses no simplified backtest mode
Automation created inside Forex Tester to apply the rules:
- Robo-advisor that automatically detects signals and stops bar replay at the right moment
- Semi-automatic mode first (“I’m only interested in the signals”)

Start date / timeframe

Start period: June 18, 2025 (publication date of Henry’s video)
Time zone: Berlin (UTC)
Best timeframe claimed by Henry: 1-hour (1H)
Trading restricted to Monday–Friday only (no weekend trading)

Signal construction: Fairvalue gap / Verval gap retest logic (1H)

Gap concept

A value gap appears when price moves so strongly that chart sections are “skipped” (imbalance).
Trade thesis: price aims to move into balance by retesting the gap, then continue with the trend.

Valid buy setup (bullish case)

Wait for a bullish “Fairvue/Fair value” gap
- Gap defined as between the upper wick of candle #1 and the lower wick of candle #3.
Minimum gap size filter: only trade gaps ≥ 0.5%
- Rationale: smaller gaps leave insufficient room for a meaningful stop-loss; high chance of immediate stop-out.
Then wait for:
- Price to continue bullishly,
- Form a new swing high,
- Followed by a retest of the Vervu/Verwell gap.
Entry:
- Enter at the center line of the gap box
- Using limit order (market order allowed “situationally”)
Stop-loss: exactly at the bottom edge of the box
Take-profit:
- At the candle close of the last swing high
- Explicit warning: not using the wick (body-close used to be more conservative)
Risk/reward constraint:
- Minimum 1:3
- Maximum 1:7
- If risk/reward is outside the band, the trade is skipped.

Trade invalidation / order deletion rules

Cancel/delete the order if:

Price goes too deep into the box and then exits without triggering entry (imbalance likely reduced).
A candle closes inside the box and the next candle closes outside → treat the gap as closed.

Valid sell setup (bearish case)

Reverse logic of the buy rules:
- Need a bearish gap of at least 0.5%
- Look for price to fall and retest from below
- Entry at center line
- Stop-loss at the top edge of the box
- Take-profit at candle close of the last relevant swing low
- Risk/reward still 1:3 to 1:7
- Same invalidation rules apply

EMA filter added in later rounds (trend filter)

Added later as an additional ruleset:

If price is above the 200-day EMA → allow only buy signals
If price is below the 200-day EMA → allow only sell signals
Intended to filter counter-trend trades.

Threshold handling

Initial round: fixed 0.5% gap threshold
Traditional markets: used Auto Threshold
- Threshold = half the average value of the last 200 candles
- Purpose: quickly filter out irrelevant/small gaps.

Key performance metrics & results (quantitative)

Round 1 (three markets; 100 trades each)

Time to find 100 trades: ~1.5 months
Result profile:
- Many small losing trades
- A few big winners attempting to offset losses
- Longest losing streak: 11 consecutive trades

Win rate vs Henry’s claim

Henry claimed: 40%–70%
Backtest result: 19% (below half of Henry’s minimum)

Risk/reward achieved

Average risk/reward: 1:3.87
Even though within the stated bounds, performance still suffered.

Performance (before/after fees)

Before fees: just under -15%
With fees: almost -25% account loss
Forex Tester example realism: ~$260 account loss

By asset

Worst: Ethereum (crypto)
Second: EUR/USD
Best: S&P 500 → ~+10% after fees

Additional observations affecting risk

Sometimes multiple gaps form at the same price level, and during strong directional moves they trigger sequentially, wiping out multiple stop-losses.
- Can lead to 2–3 consecutive losing trades from one move.
Critique of execution/instruction:
- A tutorial example included an unfavorable risk/reward (stated 1:2) while calling it “a very good example,” though the presenter notes it would not be traded due to rule invalidation (price “wrapped too deeply” and gap closure by candles).

Profit dependency risk (“fragility”)

Presenter argues the approach becomes dependent on a few big winners.
Even a moderate risk/reward of 1 was described (from robot analysis) as potentially profitable in hypothetical comparisons:
- S&P 500: ~+$400
- EUR/USD: ~+$75
- Crypto: ~+$350
Interpretation: the strategy might improve if the original framing changes.

Round 2 (adjustments + EMA filter)

Changes

Replace Ethereum with Bitcoin
- Presenter notes this despite Henry excluding BTC.
Replace EUR/USD with Gold
- Intended to fit volatility/unclear trend structure.
Add EMA trend filter (200-day EMA)
- Above → only buys, below → only sells.
Use Auto Threshold for BTC (no fixed 0.5% threshold).

Results

Time to find all 100 trades: +100 days longer (slower to identify 100 trades)
EMA filter impact:
- Win rate: ~19% → ~14%
- Longest losing streak: 11 → 17
- Net PnL: approximately -25% → -52% (more than half the account gone)
Conclusion: EMA filter did not help; it “melted the account” more quickly (per presenter).

Round 3 (fully automatic run with additional symbols)

Uses more symbols and lets robo run fully automatically with no manual interpretation.
Reported:
- Maximum drawdown: almost 50%
- Performance: steady decline, no improvement over prior rounds.

Answer to the “€10,000/month” question

Presenter states it is baffling how someone could earn €10,000/month from this strategy given the multi-round backtests.
No verified broker statements or track records were found in the video or elsewhere (per presenter).
Even the best test result did not justify the lifestyle claim.

Explicit recommendations / cautions mentioned

Leverage and broker regulation:
- Henry reportedly uses 100X crypto leverage; regulated brokers would be “significantly lower.”
Strict order/rule dependence:
- Outcomes rely heavily on exact rule triggers and invalidation rules; loosening/skipping likely changes results.
Risk/reward band constraint (1:3 to 1:7):
- Presenter emphasizes that trades outside this band rarely hold realistically.
Trend filter skepticism:
- EMA filter didn’t improve results—suggesting “better filters” may still fail.

Disclosures / promotional notes (important)

Presenter offers a way to test:
- Free download of the Forex Tester robo file (public Drive link).
- Mentions a premium discount code: TSA20%.
They do not claim this is financial advice (per subtitles).
Broker recommendation mentioned:
- Henry recommends Blofin, criticized by the presenter as not regulated in Germany and lacking statutory deposit protection / government oversight.

Presenters / sources mentioned

Henry Frampong: crypto trader; creator of the “Vervu Gap / Fairvue Gap” strategy claim
Philippa: commenter who advised that Henry doesn’t provide backtests
Forex Tester / Forex Tester robo-advisor: tool used to run backtests and automate rule detection
Public Drive folder / public Drive link: source of the robo file (as referenced by presenter)
“TSA20%”: presenter-related discount code for Forex Tester premium

No other named presenters are clearly identified beyond the above.

HenryF verspricht 10.000€/Monat – was zeigt der Backtest?

Key takeaways