Video summary

Estrategia SmoothTrend

Main summary

Key takeaways

Finance

Finance-focused subtitle summary (Markets/Trading/System design)

What the video claims the “SmoothTrend” strategy does

  • Presents a trend-following strategy aimed at capturing trend continuations (not early reversals).
  • Core idea: build a smoothed moving-average “cloud/channel” to reduce lag, then use price-action confirmation (engulfing candles) to time entries.
  • Emphasizes that the indicator can generate buy/sell signals based on the direction of a smoothed average (named Trigger and Smooth).

Market phase context (framework)

The speaker frames markets as moving through phases:

  • Accumulation
  • Bullish trend
  • Bearish trend
  • Distribution

SmoothTrend is designed to trade trend phases, specifically trend continuation.


Indicators and construction (step-by-step / methodology)

1) Trend detection via moving averages (and lag reduction)

  • Detect trend using price structure:
    • Uptrend: higher highs / higher lows
    • Downtrend: lower highs / lower lows
  • Two ways moving averages indicate trend:
    • Price position vs MA (price above = bullish; below = bearish)
    • MA slope/direction (buy/sell bias can depend on MA direction even if price temporarily crosses)

Lag problem with plain MAs

  • Plain moving averages can be late; the speaker argues this causes moving-average crossover strategies to fail due to lag and late entries.

Lag reduction approach (double-smoothing)

  • Use a double-smoothing concept:
    • Compute a moving average (Trigger line)
    • Compute another moving average on top of it (Smooth line) to reduce noise further
  • The distance between them forms a “cloud/channel.”

2) “Trigger crosses Smooth” coloring = directional bias

  • Trigger crosses Smooth downward → start looking for sell conditions.
  • Trigger crosses upward → start looking for buy conditions.

3) Trend continuation vs trend beginnings

  • Instead of catching the start of a trend (unclear if it’s a retracement vs reversal), the logic is to wait for continuation:
    • After sideways movement / early chop, allow one move to run
    • Then trade on the next retracement completion with a clearer continuation setup

4) Entry timing uses a filter: engulfing candle confirmation

  • Uses engulfing candles to filter false signals during pullbacks.
  • Entry is not “at market”:
    • Place an order at the price level of the trigger/pattern reference candle
      • Example: buy at the high after a pullback
      • Shorts analogously placed below
    • Wait for the next candle to confirm and trigger the order when the continuation/reversal condition occurs.
  • Waiting window: wait for an engulfing move for up to two candles.

Timeframe selection / “what candles smooth the trend”

Avoid common mistake

  • Warns against very short, time-based candles like 30-second, because they create excess signals in sideways markets (noise).

Preferred: Range candles (movement-based)

  • Recommends Range candles since they measure price movement, not time.
  • Key numerical definitions:
    • 100 Range candle: each candle spans 100 ticks
    • 100 ticks ≈ 25 price points (stated explicitly)
  • Cites community/backtesting (speaker credits others) that best performers are:
    • 100 Range
    • 60 Range

How to choose Range size with volatility (ATR link)

  • Uses ATR (volatility measure) as a guide:
    • If Nasdaq volatility is ~25 points, then a ~25-point range candle (e.g., 100 ticks) matches typical movement.
  • Rationale: if stop loss is too tight relative to volatility, it gets hit more often; matching candle range reduces premature stop-outs.

Daily context filter (macro within the trading day)

  • Uses only one additional element besides the indicator: Daily context / daily trend filter.
  • Rule:
    • Trade the intraday continuation signal only in the direction of the day’s bias
      • Example: in a sell setup, signals are valid only below yesterday’s high.
  • Emphasis: don’t spread execution across many intraday timeframes—focus on the Range candle timeframe aligned with daily context.

Risk management: stop loss & take profit logic

Stop/target framework attributed to Perry Kaufman

  • Guideline quoted:
    • Stop loss: about 1 to 1.5 × ATR
    • Target: suggested as a ~2:1 reward-to-risk multiplier (ratio concept referenced)

Implementation specifics in this strategy

  • For Nasdaq using ATR estimate 25 points:
    • Stop loss should be roughly 26–27 points (or “around the same size” as the candle range).
  • Practical method:
    • Place stop behind/above the reference candle with a few-point buffer.
    • Stop distance adapts to changing daily volatility.

Trade management / scaling out

  • When price moves:
    • At about 1:1, the speaker says to open a new position / manage.
    • Mentions profit-taking in progression, with a rough example outcome around ~5:1 (speaker garbled but indicates reaching about a 5-to-1 result).

Explicit recommendation highlights (actionable cautions)

  • Do not chase price (don’t buy just because candles are green).
  • Do not use 30-second timeframes (too many noisy signals).
  • Trade continuation setups, not trend beginnings (to avoid getting stopped out on retracement).
  • Use engulfing candle confirmation and wait up to two candles for the order trigger.
  • Use daily context filter so signals only trade in the direction of the day’s bias.
  • Use Range candles tuned to ATR to prevent stop-outs from normal noise.

Tickers / assets / instruments mentioned

  • Nasdaq (explicitly referenced as the main example index)
  • No specific equity tickers, ETFs, bonds, commodities, or crypto tickers are named.

Numbers explicitly mentioned (key parameters)

Strategy availability/pricing claims (non-portfolio but explicit numbers)

  • Mentions $800, with earlier sale price references $850 and $1700
  • Mentions 30-day free trial / access period

Smoothing / MA examples

  • Base smoothing parameter mentions: 12-period (and “12 12” setup)
  • Other MA defaults/variants cited: 17 & 18, 29–29, and 14-period with smoothing 9
  • Earlier example MA: 20-period EMA

Timeframe/candle selection

  • Warns against 30-second candles
  • Notes execution timeframe measurement typically 2-minute or 5-minute; “never go for less than 2 minutes”

Range candles

  • 100 Range = 100 ticks ≈ 25 points
  • Best-performing ranges claimed: 100 Range and 60 Range

Volatility / ATR

  • Nasdaq volatility average cited around 25 points
  • Stop example: 26–27 points

Risk/reward

  • Stop guideline: 1 to 1.5 × ATR
  • Target framework referenced: ~2:1
  • Trade management example: about ~5:1 (speaker-stated outcome)

Disclosures / disclaimers

  • The speaker frames the discussion as educational/trial access for the indicator and disputes resale/fraud claims.
  • A clear “not financial advice” disclaimer is not included in the provided subtitles.

Presenters / sources mentioned

  • Chucho TR / Chucho Trader (named; discussed as a reseller of an indicator)
  • Agustín (mentioned in a debate/dispute context)
  • Magdi (Magdi Neu Algo) (credited with originating/popularizing the concept)
  • Nu Eh Ne Algo / Neu Algo (credited with popularizing around 2018 and providing open-source code)
  • Siom Trading (speaker’s team/company; claims improvements released in 2023 / “optimized in 2020”)
  • Luis Martínez (credited for community backtesting/optimization over ~3 years; also credited for ATR/threshold-time optimization)
  • Perry Kaufman (referenced for stop/target volatility guideline)

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