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One of Our Trading Signals

At WSMode.com, we help you find ETFs trading below their 369-day EMA—signals of undervaluation. Using our Universal Basic Code (UBC), we scan thousands of global ETFs to highlight those that have historically rebounded 10% to 30%+ within 1–3 years. If an ETF is not in a buy zone—or has historically signaled a sell—our system will highlight that too, helping you avoid unnecessary risk. Below is one of such ETFs we’ve identified. Join the journey. Build long-term gains, one smart entry at a time.

Chart for ICLN
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iShares Global Clean Energy ETF (ICLN)

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Total Entries: 12

Current Baseline: -17.67

Last Close at Entry: 12.01

Recent Close: 12.94

Risk (30 d): Max drawdown in 30 days was 17.38%.

Risk (90 d): Max drawdown in 90 days was 39.65%.

Risk (3 y): Max drawdown in 3 years was 59.13%.

Min Risk: Worst-case drawdown across horizons was 0%.

Reward Upside: Min-case upside (min of max-rises excl. latest) was 0%.

Reward 1-2 Y: Min-case 12–24 m upside was 0%.

3 y Reward Upside: 3 y Min-case upside was 2.34%.

Entry Price: 12.01

Profit Target: 12.29

Remaining Profit: -5.02%

Signal: ⚠️ HOLD: no clear BUY/SELL conditions met. Price may pull back for a better entry (look for a 39.65% – 59.13% drop) or continue to rise into sell territory.

Date Max drop (30 d) Max Rise (30 d) Max drop (90 d) Max Rise (90 d) Max drop (3 y) Max Rise (3 y)
2009-03-193.03%26.53%3.03%60.75%9.49%67.85%
2009-11-020%11.07%0%19.98%59.13%22.5%
2010-02-047.52%5.87%7.52%5.87%56.67%7.47%
2011-08-0217.38%2.34%39.65%2.34%56.52%2.34%
2015-08-2110.02%4.74%10.02%11.31%17.56%11.31%
2016-12-220%8.41%0%14.88%0%30.4%
2020-03-1214.13%10.84%14.13%21.15%14.13%263.97%
2022-01-109.99%5.49%10.04%13.02%33.47%24.74%
2022-05-095.98%16.73%5.98%21.1%26.85%37.15%
2022-10-130%12.89%0%24.96%31.95%26.01%
2023-08-086.07%2.74%20.58%2.74%37.78%2.74%
2024-11-120.33%4.18%7.78%4.43%12.54%8.36%
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⚠️ How to Use Our Signals

  1. Identify the Green Entry Point
    On each ETF’s chart, look for the green “BUY” marker. This indicates our algorithm’s entry signal and aligns with today’s date on the chart.
  2. Double-Check Your Data
    Before acting, verify the ETF’s price and technicals on TradingView, Yahoo Finance, Google Finance, or your broker’s charting tools.

⚠️ Important Warnings Before You Buy

  1. Use a Licensed Broker
    Make sure your broker is legally authorized in your region—and properly regulated.
  2. Know What You’re Buying
    Don’t confuse ETFs with CFDs or leveraged products, which carry full-loss risk even if the fund itself never goes to zero.
  3. Why This Matters
    Fees, margin calls or mismanaged leverage on CFDs can wipe out your investment—even if the ETF rises.
  4. Smart Leverage Formula (Optional)
    Cap your margin at 1:3. Example: With $10,000 capital and 40% downside risk, max safe exposure = $25,000.
  5. Final Advice
    Our signals are probabilistic, not guaranteed. If you use leverage, manage risk—and consult a financial advisor.

Why Indices-Based ETFs?
We focus on indices-based ETFs because their “risk-to-zero” is tied to entire markets collapsing—extremely rare. Diversify across ETFs to minimize risk and ensure better long-term stability.

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Universal Basic Code

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🧩 UBC Script – Complete Step-by-Step Process

  1. 1
    Pick Your Assets: Create an Asset List.txt file listing indices-based ETFs, major indexes, or even just Bitcoin. The script works best on productive market indices.
  2. 2
    Prepare the Environment: Install Python and its dependencies — or use a PHP-ready cloud host if you prefer server-side processing.
  3. 3
    Fetch Price Data: Automatically retrieve historical Open, High, Low, Close data from Yahoo Finance or your preferred API.
  4. 4
    EMA Trend Detection: Analyze how far current prices are from the last crossover of a 369-period EMA (customizable).
  5. 5
    Multiprocessing and Workers: Designed for BIG DATA — the script reads from Parquet files and supports high-speed batch analysis.
  6. 6
    Historical Backtest: See what happened after similar conditions in the past. Generates buy/sell signals based on your criteria.
  7. 7
    Export Reports: Results are saved in a clean Excel file — complete with summary tabs, charts, and Yahoo Finance links.