Most traders use a stock screener as a static filter: set some thresholds, get a list of tickers, trade. The problem is they never verify whether those criteria have actually produced a profitable edge historically. The result is a list of names that look good on screen but underperform the moment market conditions shift.
This article shows you how to build a no-code stock screening strategy, choose the right tools, and backtest your criteria before committing real capital.
What is a no-code stock screener?
A screener does not predict the future. It identifies, at a given moment, the securities that match your rules. The key difference from backtesting: the screener works on current data, while the backtest tells you whether those rules would have generated a real edge in the past.
Stock screening vs backtesting: two complementary steps
Many traders conflate the two. A screener tells you: "Today, here are the stocks with RSI below 30 and volume above the 20-day average." A backtest tells you: "Over the past five years, entering on these signals produced a win rate of X% and a profit factor of Y."
Without backtesting, you are trading blind. According to ESMA, between 74% and 89% of retail CFD accounts lose money (ESMA 2023). Validating your criteria on historical data is one of the few concrete ways to improve those odds.
Why combine a screener with backtesting?
The combination creates a validation loop:
Most retail traders skip this loop entirely because the tools required have historically demanded coding skills. That is the gap Backtrex closes.
How to build a no-code stock screening strategy
Fundamental filters: P/E, volume, market cap
Fundamental filters constrain your investment universe before you apply technical triggers.
| Filter | Typical value | Purpose |
|---|---|---|
| P/E ratio | < 25 | Exclude overvalued securities |
| Average volume (20d) | > 500,000 shares/day | Ensure adequate liquidity |
| Market cap | > $300M | Reduce small-cap risk |
| Debt-to-equity | < 1 | Filter fragile balance sheets |
These filters do not generate trading signals by themselves. They define the universe where you look for opportunities.
Technical filters: moving averages, RSI, breakouts
This is where trading logic enters. The most widely used technical filters in 2026:
RSI oversold : RSI(14) below 30 on the daily chart. A potential mean-reversion opportunity. Important caveat: a low RSI in a strong downtrend does not automatically signal a reversal.
Moving average crossover : EMA20 crossing above EMA50. A momentum signal. Jegadeesh and Titman (1993, Journal of Finance) demonstrated that momentum strategies generate approximately 1% per month in excess return on US equities over 3 to 12 month horizons (source).
52-week high breakout with volume : the stock reaches a 52-week high with volume 50% above average. A confirmed breakout signal.
ATR-based position sizing : use the Average True Range to scale position size relative to each security's actual volatility.
Combining multiple criteria without code
The advantage of a no-code screener is combining filters with logical operators (AND/OR) without writing a single line of code. A practical example:
- Market cap > $500M AND
- Average volume > $1M AND
- EMA20 > EMA50 AND
- RSI(14) between 40 and 60 (trend continuation zone)
This kind of multi-criteria combination would require significant coding effort to implement manually. In a no-code environment, it takes a few minutes.
Practical advice
Start with a maximum of 3 criteria. Adding too many filters drastically reduces the number of signals and increases the risk of overfitting to historical data.
Best no-code stock screeners in 2026
Finviz
Finviz is the free-tier standard for US equities. Its database covers more than 11,000 securities (11,166 stocks and ETFs) across NYSE, NASDAQ, and AMEX (Finviz screener).
The interface lets you combine dozens of fundamental and technical filters. The free plan shows data with a 15-20 minute delay. The Elite plan adds real-time data, alerts, and basic charting.
Key limitation: Finviz shows you which stocks match your criteria today. It cannot tell you whether those criteria would have been profitable historically.
TradingView Screener
TradingView's built-in screener covers stocks, ETFs, crypto, Forex, and indices. Its tight integration with TradingView charts is the main advantage: one click takes you from the screener to the chart.
The free plan is functional. Paid plans add custom alerts and advanced filters.
Limitation: like Finviz, no backtesting of screening criteria is built in.
Backtrex: screener and backtesting in one no-code interface
Unique positioning
Backtrex closes the loop between selection and validation. You define your entry conditions visually using drag-and-drop blocks, and the system backtests those conditions across 5 to 10 years of data in under 30 seconds.
The fundamental difference from Finviz or TradingView Screener: Backtrex does not just list stocks matching your criteria today. It tells you whether those criteria produced a statistical edge historically, with full metrics: win rate, expectancy, profit factor, maximum drawdown.
Backtest results are exportable as Pine Script (TradingView) or MQL (MetaTrader) with a less than 2% divergence guarantee.
Explore Backtrex features and pricing.
| Feature | Backtrex | Finviz | TradingView |
|---|---|---|---|
| Fundamental filters | Yes | Yes | Yes |
| Technical filters | Yes | Yes | Yes |
| Criteria backtesting | Yes (built-in) | No | No |
| Pine Script/MQL export | Yes | No | Partial |
| No-code interface | Yes (drag-and-drop) | Yes | Yes |
| Anti-repainting | Yes (guaranteed) | N/A | N/A |
Backtesting your stock screening strategy
Why screening criteria need backtesting
A screener produces signals. But are those signals reliable? Without backtesting, you cannot answer that question. A criterion that seems logical (buy stocks with RSI below 30) may have systematically underperformed over the past five years in certain market regimes.
Backtesting is not a guarantee of future performance. It is a qualification tool: it eliminates strategies with no real edge before you test them with live capital.
Read our full guide on how to backtest a trading strategy and our article on common backtesting mistakes to avoid.
How to measure screener edge: win rate, expectancy, profit factor
The metrics to prioritize:
| Metric | Target threshold | Meaning |
|---|---|---|
| Win rate | > 40% | Minimum for most strategies |
| Profit factor | > 1.5 | Strategy earns more than it loses |
| Expectancy | > 0 | Positive average gain per trade |
| Maximum drawdown | < 20% | Acceptable ruin risk |
For a detailed breakdown of these metrics, see our article on expectancy and profit factor in backtesting.
Common screener mistakes
Overfitting : tuning parameters (RSI = 28 instead of 30, EMA = 22 instead of 20) until the backtest looks perfect. Hyper-optimized parameters rarely hold up in live trading.
Survivorship bias : testing only on stocks that still exist today. Companies that went bankrupt disappeared from the universe. Without including them, results are biased upward.
Ignoring transaction costs : every trade has a cost (spread, commission, slippage). A screener generating 200 trades per year with a profit factor of 1.2 may become a losing strategy after costs.
No out-of-sample validation : testing across the full historical period without reserving a portion to validate results after optimization.
Overfitting risk
The more adjustable parameters your screening strategy has, the higher the overfitting risk. Prioritize simplicity and statistical robustness across multiple market periods.
To go further on algorithmic trading without code, read our algorithmic trading without coding guide and our comparison of Pine Script alternatives.
Important Risk Warning
Yes. Tools like Backtrex allow you to visually define selection criteria and backtest them on historical data without writing any code. The drag-and-drop interface replaces programming entirely.
Finviz (free tier) and the TradingView screener are the standards for filtering a stock universe. For a workflow that includes backtesting your screening criteria, Backtrex is the most complete no-code solution available.
No. Screening finds stocks that match your criteria today. Backtesting validates whether those criteria have historically produced a profitable edge. The two steps are complementary and not interchangeable.
The most common in 2026: RSI oversold (below 30), EMA20/EMA50 crossover, 52-week high breakout with elevated volume, and ATR-based position sizing. Start with 2 or 3 criteria before adding complexity.
Backtest your criteria and measure: expectancy (average gain per trade), profit factor (target above 1.5), and maximum drawdown. A screener without backtesting cannot be qualified as having an edge.
Academic evidence is positive. Jegadeesh and Titman (1993) documented approximately 1% per month in excess return on US equities over momentum strategies. But these results require strict risk management and do not guarantee future performance.
Backtrex lets you define entry conditions visually and backtest them immediately. Its unique position: it combines screening logic, integrated backtesting, and code export (Pine Script/MQL) in a single no-code interface. That is the complete validation loop in one tool.