Trading Platform

Strategy-Based Buy/Sell Readiness Screener

Search any U.S.-traded ticker to see whether momentum, trend, mean reversion, breakout, pullback, RSI, volume, and market-regime strategies agree.
Ready Watch Not Ready Avoid / Sell Bias
Today's Paper Signals
0
Win Rate
0%
Daily Paper P&L
$0.00
Total Costs
$0.00

Search a Ticker. See the Strategy Readiness.

TradingPlatform.com now focuses on strategy-specific market analysis instead of one black-box answer. A ticker can show Buy Bias under Momentum, Sell Bias under RSI, Watch under Mean Reversion, and Not Ready under Breakout. The overall status only matters when several strategies agree.

Buy / Sell Bias

Signals are labeled by strategy, so users can see whether the bias comes from momentum, trend, RSI weakness, volume confirmation, or a broader market-regime read.

Ready or Not Ready

The screener separates a watchlist setup from a confirmed setup. That keeps uncertain or conflicting strategies from being presented as a simple trade call.

Email / SMS Alerts

The product flow supports alert requests when a ticker changes status. The next backend step is wiring stored requests into real delivery.

Cluster Signals

When several large-cap growth names weaken together, the market-regime strategy can flag sector or factor pressure instead of treating every ticker as isolated.

30-Day Performance Across 85 Stocks

Comprehensive backtesting across our stock universe is used to validate the model before any live-trading functionality is considered. Backtested and paper-trading results are hypothetical and may differ materially from actual trading results.

159 Signals Generated

The algorithm identified 159 paper-trade candidates across 85 stocks in this 30-day backtest. Average of 15.9 simulated signals per day.

50.3% Win Rate

80 winning simulated trades out of 159 total. This includes modeled estimates for spreads, slippage, and commissions.

$20,037.92 Paper P&L

Total modeled paper P&L from all 159 simulated signals across the stock universe. This is not actual customer account performance.

85 Stocks Analyzed

From mega-cap tech to mid-cap value. The algorithm works across different market caps, sectors, and volatility profiles.

Recent Best Day: 10 Signals

June 18 showed 10 simulated paper-trade candidates across 10 different stocks, all generated by the algorithm without human intervention.

Weekly Breakdown

Week of June 8-14: 111 simulated signals, 49.5% win rate, $11,970 modeled paper P&L. Week of June 15-21: 45 simulated signals, 55.6% win rate, $8,795 modeled paper P&L.

View Detailed Backtest Results

How It Works

The screener combines current market data, recent price history, and strategy-specific calculations to produce an educational readiness view. It does not place trades and does not provide personalized investment advice.

Momentum

Checks whether recent price action is strengthening or weakening and whether RSI supports the move.

Trend Following

Compares price against 20-day and 50-day moving averages to identify trend alignment or trend deterioration.

Mean Reversion

Highlights potential extremes when RSI moves toward oversold or overbought zones.

Breakout / Breakdown

Looks for price moving beyond recent ranges with volume confirmation.

Volume Confirmation

Checks whether current participation supports the directional move or leaves it unconfirmed.

Market Regime

Flags when a ticker's weakness or strength should be viewed as part of a larger sector or factor cluster.

Top Paper-Trading Symbols (30 Days)

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Open Paper Signals

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Important disclosure: TradingPlatform.com is a research and paper-trading validation platform. Results shown on this site are simulated, hypothetical, or paper-trading results and do not represent actual trading in any customer account. Trading involves risk, including loss of principal. Nothing on this site is individualized investment advice, a recommendation to buy or sell any security, or a guarantee of future performance. TradingPlatform.com is not a broker-dealer, investment adviser, bank, exchange, or custodian.