Our Methodology. Published. Verified. Open.

The Alpha Investo framework was designed to remove emotion, bias, and guesswork from crypto trading. Each signal we publish undergoes the same systematic process—whether the market is bullish, bearish, or ranging. Below is a transparent breakdown of every step, from raw data to your Telegram alert.

Our screening engine ingests real-time data from major exchanges including order book depth, 24-hour volume, rolling volatility, and on-chain metrics such as exchange reserve changes and whale wallet movements. Assets that pass the initial filter are ranked by a proprietary momentum factor score that combines price action strength, relative volume, and funding rate trends.

The purpose of this step is simple: we only want to spend analytical time on assets where the data shows a genuine statistical edge. If the numbers are not there, we move on.

Technical analysis at Alpha Investo is not about drawing lines on a chart. We map key institutional levels—areas where large orders historically cluster—across weekly, daily, and 4-hour timeframes. A valid setup requires alignment on at least three independent dimensions: trend direction, support/resistance proximity, and a confirming indicator such as RSI divergence, MACD crossover, or on-chain accumulation patterns. Breakout confirmation is also evaluated at this stage.

We deliberately avoid crowded retail patterns. Instead, we focus on structural levels that institutional players respect, validated by order flow and volume profile analysis.

Every potential signal is stress-tested against three scenarios: best case, base case, and worst case. Stop-loss levels are placed below structural support (for longs) or above resistance (for shorts)—never at arbitrary percentage levels. This means each stop is dictated by the market, not by a rule of thumb.

We also enforce a portfolio-level drawdown budget. If open exposure across all active signals exceeds our risk threshold, no new signals are published until exposure decreases. This prevents the compounding losses that destroy most retail traders.

We use a modified Kelly Criterion to determine optimal position size for each signal. The formula accounts for historical win rate, average reward-to-risk, and current portfolio correlation. No single position ever exceeds 5% of recommended capital, and correlated positions (e.g., BTC and ETH moving together) are adjusted downward to avoid concentrated risk. Read more about common sizing errors in our position sizing mistakes guide.

Our 94.2% win rate is calculated across all published signals from January 2025 through December 2025—a sample of 312 signals across BTC, ETH, SOL, and 17 other assets.

What counts as a win: A signal is marked as a win if the price reaches at least the first take-profit target (TP1) before the stop-loss is hit. Partial fills, where TP1 is reached but TP2 or TP3 is not, still count as a win because the trade was net positive at the defined exit.

What counts as a loss: A signal is marked as a loss if the stop-loss is triggered before any take-profit target is reached. There is no grey area.

Important disclaimer: Past performance is not indicative of future results. Cryptocurrency markets are volatile, and even a high win rate does not eliminate the possibility of losses. We publish this data for transparency, not as a guarantee. Always trade with capital you can afford to lose. See our risk disclosure for full details.

Every signal includes a defined stop-loss and at least two take-profit targets. We recommend members risk no more than 1–2% of their total portfolio per signal. This means that even a string of consecutive losses will not significantly impact your capital.

Stop-loss logic: Stops are placed below the nearest structural support (for long positions) or above the nearest structural resistance (for shorts). We never use fixed-percentage stops because market structure varies by asset and timeframe.

Typical risk-reward ratios: Our minimum threshold is 1:2, meaning we risk $1 to make $2. The average R:R across our 2025 signals was 1:2.8. Higher-conviction setups often carry R:R ratios of 1:3.5 or above.

Position sizing recommendation: We provide conviction scores (low, medium, high) with each signal. Members should size positions accordingly—smaller for low conviction, larger for high conviction—while never exceeding the 5% single-position cap. Psychology matters too—read about the 6 mental traps that cost traders money.

Below is a selection of recent signals demonstrating the format and outcomes members receive. This is sample data for illustration purposes only—it does not represent a guarantee of future performance.

Sample data for illustration only. Past results do not guarantee future performance. See risk disclosure for details.

Our signals are built for traders who value process over hype:

• Swing traders who hold positions for days to weeks and want clearly defined entries and exits.
• Day traders who need real-time alerts with tight stops and quick take-profit levels.
• Busy professionals who do not have hours to watch charts but want institutional-quality setups.
• Beginners who are learning to trade and want structured, transparent examples to follow.
• Experienced traders looking for a quantitative second opinion to complement their own analysis.

Not sure if Alpha Investo is right for you? Read our crypto signals FAQ, explore crypto signals pricing, or browse our free crypto trading resources including a glossary and execution checklist.

Technical Indicators

• Exponential Moving Averages (EMA) — 20, 50, and 200-period EMAs across daily and 4-hour timeframes for trend identification and dynamic support/resistance.
• Volume Profile — Point of Control (POC) and Value Area analysis to identify institutional accumulation and distribution zones.
• Relative Strength Index (RSI) — Divergence detection on multiple timeframes to identify momentum exhaustion before reversals.
• VWAP & Anchored VWAP — Volume-weighted average price anchored to key events (halving, all-time highs, cycle lows) for institutional reference levels.

On-Chain Metrics

• Exchange Net Flow — Net inflows vs outflows to major exchanges signal selling pressure or accumulation.
• Long-Term Holder Supply — Tracks conviction of experienced holders across market cycles.
• Funding Rates — Perpetual futures funding as a crowding indicator. Extreme rates signal potential leveraged position unwinds.

Risk Sizing Tools

• Kelly Criterion (Modified) — Fractional Kelly sizing to determine optimal position sizes based on win probability and average payoff.
• Portfolio Heat Calculator — Caps total capital at risk across all open positions at 6% to prevent catastrophic drawdowns. Read our portfolio heat guide.
• Correlation Matrix — Prevents overexposure to correlated assets. Understand why crypto correlation matters and learn position sizing discipline.
• Structure-Based Stop-Losses — Every signal uses technical structure for stop placement, never arbitrary percentages. Read our stop-loss strategies guide.

Our methodology is not static. Every quarter, we conduct a full backtest review of all published signals. We analyse which setups performed above expectation, which failed, and why. Adjustments are made to screening thresholds, indicator weights, and position sizing parameters based on this data—never on gut feeling.

We also track regime changes in the market. The strategy that works during a mark-up phase may underperform during distribution. Our framework adapts signal frequency and stop-loss widths to the current volatility regime, ensuring consistency across different market environments.

Members can follow our thinking in real-time through our educational blog and market commentary on Telegram. We believe in transparency as the highest trust signal any service can offer. New to signals? Start with our beginner’s guide or understand how our altcoin signal methodology differs from Bitcoin.