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Leonardo Fibonacci DCA Strategy

Script from: TradingView

Swing

Pullback

Grid trading

Bot

DCA

Mean reversion

Reversal

This strategy automates Dollar-Cost Averaging (DCA) by buying as the price drops. You define the number of buy orders and the percentage drop for each entry, lowering your average cost. Take-profit targets are set using Fibonacci ratios. The position is closed for a loss if a moving average crosses below your final entry price or if a time limit is reached. It's a structured way to buy into dips and manage volatility.

Tezos / TetherUS (XTZUSDT)

+ Leonardo Fibonacci DCA Strategy

@ 15 min

2.47

Risk Reward

14.00 %

Total ROI

90

Total Trades

SAND / TetherUS (SANDUSDT)

+ Leonardo Fibonacci DCA Strategy

@ 5 min

1.27

Risk Reward

8.10 %

Total ROI

146

Total Trades

MNTUSDT SPOT (MNTUSDT)

+ Leonardo Fibonacci DCA Strategy

@ 2 h

1.16

Risk Reward

333.44 %

Total ROI

2180

Total Trades

SUI / TetherUS (SUIUSDT)

+ Leonardo Fibonacci DCA Strategy

@ Daily

1.16

Risk Reward

441.27 %

Total ROI

1234

Total Trades

JASMY / TetherUS (JASMYUSDT)

+ Leonardo Fibonacci DCA Strategy

@ 5 min

1.11

Risk Reward

8.24 %

Total ROI

248

Total Trades

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 4 h

5.24

Risk Reward

10.75 %

Total ROI

38

Total Trades

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 1 h

5.11

Risk Reward

158.50 %

Total ROI

236

Total Trades

Thermo Fisher Scientific Inc (TMO)

+ Leonardo Fibonacci DCA Strategy

@ 1 h

2.82

Risk Reward

1,544.18 %

Total ROI

842

Total Trades

Microsoft Corporation (MSFT)

+ Leonardo Fibonacci DCA Strategy

@ 4 h

2.52

Risk Reward

5,420.57 %

Total ROI

2402

Total Trades

Visa Inc. (V)

+ Leonardo Fibonacci DCA Strategy

@ 2 h

2.50

Risk Reward

7,314.79 %

Total ROI

1508

Total Trades

Johnson & Johnson (JNJ)

+ Leonardo Fibonacci DCA Strategy

@ 4 h

2.42

Risk Reward

512.82 %

Total ROI

1087

Total Trades

Sanofi (SAN)

+ Leonardo Fibonacci DCA Strategy

@ 1 h

2.42

Risk Reward

271.44 %

Total ROI

392

Total Trades
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Guide

How does the Leonardo Fibonacci DCA Strategy strategy work ?

This strategy automates a Dollar-Cost Averaging (DCA) approach, designed to systematically buy into a falling asset. It works by placing a series of long entries as the price declines to improve your average entry cost.

You configure the following:

  • Order Count: The total number of buy orders to place.
  • Price Drop Range: The starting and ending percentage drop for your entries.

For example, you could set 10 orders to trigger at every 1% drop from the initial price, down to a total of 10%. As the price falls, the strategy executes these buys, lowering your average position cost.

For exits, the strategy uses Fibonacci ratios to set profit targets. The stop loss is triggered when a moving average crosses below the price level of your final buy order. A time-based exit is also available to close the trade after a set duration.

How to use the Leonardo Fibonacci DCA Strategy strategy ?

The Leonardo Fibonacci DCA Strategy is a dollar-cost averaging (DCA) tool designed to systematically buy into a falling market to achieve a better average entry price.

To get started, open a chart on TradingView, click the "Indicators" tab, and search for "Leonardo Fibonacci DCA Strategy" in the Community Scripts section to add it.

When backtesting, focus on these critical parameters across multiple symbols and markets:

  • Time Frame: Test higher timeframes (e.g., 1H, 4H) for less volatile assets and lower timeframes (e.g., 15m, 30m) for more volatile ones.
  • Order Count & Indent Price: These are linked. A higher order count with a tight price gap works in low-volatility trends. A lower count with a wider gap is better for catching deep, volatile dips.

For live trading, you can either:

  • Automate: Configure alerts within the strategy settings to send webhook signals to an automated trading bot for hands-free execution.
  • Trade Manually: Set up alerts for each entry and exit signal. When an alert triggers, you execute the trade yourself.

Thoroughly backtest to find the optimal settings for each asset. Your goal is to adjust the Fibonacci profit targets against the stop-loss conditions to discover the most effective risk/reward ratio for your style.

How to optimize the Leonardo Fibonacci DCA Strategy trading strategy ?

While the Leonardo Fibonacci DCA strategy automates entries, its performance can be significantly enhanced by adding a layer of manual, discretionary analysis. Instead of letting it run blindly, use it as a semi-automated assistant that you guide based on market conditions.

1. Qualify Your Entry Zones

Don't activate the strategy on any random dip. Your first job is to identify high-probability reversal zones before turning the script on.

  • Higher-Timeframe Support: Before considering a trade, zoom out to the 4-hour or Daily chart. Identify major horizontal support levels, key moving averages (like the 200 EMA), or significant trendlines. Only enable the DCA strategy when the price enters one of these pre-defined zones. This prevents you from buying into a free-fall with no structural support below.
  • Volume & Candlestick Confirmation: As the price enters your zone and the first DCA orders are about to trigger, look for confirmation. A bullish hammer or engulfing candle, coupled with a spike in buying volume, signals that buyers are stepping in. If you see price falling on high volume with no bullish candle patterns, it's a warning sign to stay out.

2. Active Exit Management

The automated exits are a baseline, but you can often do better by managing the trade manually.

  • Dynamic Profit Taking: The Fibonacci targets are a good guide, but don't be rigid. If the price is showing extreme bullish momentum and blows past your first target, consider holding for a higher extension or using a manual trailing stop to maximize gains. Conversely, if the price struggles to reach the target and forms bearish reversal patterns at a resistance level, take your profits early.
  • Smarter Stop-Loss Placement: The moving average crossover stop can be slow to react. A more robust approach is to place a manual hard stop-loss below the entire support structure you initially identified. If the price breaks that structure, the reason for the trade is invalidated, and you should exit immediately.

For which kind of traders is the Leonardo Fibonacci DCA Strategy strategy suitable ?

This strategy is best suited for swing traders and patient position traders who have a medium-term bullish outlook on an asset. It is not for scalpers or those who cannot tolerate seeing a position in drawdown.

The ideal user is a systematic trader who wants to:

  • Buy into pullbacks within a larger uptrend.
  • Trade mean-reversion scenarios, anticipating a bounce from a support zone.

This style requires patience to wait for the price to drop to your entry levels and the discipline to let the DCA process play out. It’s for traders who prefer to accumulate a position at a favorable average price rather than chasing momentum or breakouts. It excels in trending or range-bound markets where dips are temporary and likely to reverse.

Key Takeaways of Leonardo Fibonacci DCA Strategy

  • What it is: A systematic Dollar-Cost Averaging (DCA) strategy designed to accumulate a position by buying into price drops.
  • How it works: The strategy places a series of buy orders at pre-defined percentage drops to improve your average entry price. Take-profit is set using Fibonacci levels, and the stop-loss is triggered by a moving average cross or a time limit.
  • How to use it: Add it to a TradingView chart. You can automate it via webhooks or set up alerts for manual execution.
  • How to optimize it: Enhance performance by only activating the strategy when the price enters a pre-identified high-timeframe support zone. Wait for volume and candlestick confirmation before letting the first order trigger.
  • How to manage risk: Go beyond the automated exits. Set a manual hard stop-loss below the key support structure. Be flexible with profit-taking; if momentum is strong, let it run, and if it stalls, consider exiting early.
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