VOICE MARKET SCANNER
TickerPrompt
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NASDAQ / Healthcare
Bottom recovery with volume expansion
Volume expanded while price remains close to the recent low. RSI is not overheated, so the setup still has room before becoming crowded.
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Strategy
Strategy JSON
{
"strategy_type": "user_defined_recovery_reversal",
"universe": "US_LISTED_STOCKS_NASDAQ_NYSE_AMEX",
"region_query": "US",
"distance_from_base_low_max_pct": 40,
"max_recent_runup_pct": 25,
"base_duration_days_min": 120,
"volume_surge_min_ratio": 1.5,
"distance_from_90d_low_max_pct": 40,
"liquidity_min_avg_volume": 0,
"exclude_overheated_rsi": true,
"rsi_max": 68,
"explain_top_n": 50
}TradingView strategy script
//@version=5
strategy("TickerVoice: user_defined_recovery_reversal", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// Generated by TickerPrompt. This script checks the current TradingView chart only.
// Universe hint: US_LISTED_STOCKS_NASDAQ_NYSE_AMEX
// Region hint: US
// Industry hint: any
// Annual/dividend-yield filters are executed by the TickerVoice scanner from profile data; Pine cannot screen the whole universe from one chart.
tv_rsiValue = ta.rsi(close, 14)
tv_avgVolume20 = ta.sma(volume, 20)
tv_volumeRatio = tv_avgVolume20 > 0 ? volume / tv_avgVolume20 : 0
tv_avgVolumeWeek = ta.sma(volume, 5)
tv_avgVolumePrev20 = ta.sma(volume[5], 20)
tv_volume1wRatio = tv_avgVolumePrev20 > 0 ? tv_avgVolumeWeek / tv_avgVolumePrev20 : 0
tv_avgVolumeTwoWeeks = ta.sma(volume, 10)
tv_avgVolumePrevTwoWeeksBase = ta.sma(volume[10], 20)
tv_volume2wRatio = tv_avgVolumePrevTwoWeeksBase > 0 ? tv_avgVolumeTwoWeeks / tv_avgVolumePrevTwoWeeksBase : 0
tv_low90 = ta.lowest(low, 90)
tv_baseLow = ta.lowest(low, 120)
tv_low22 = ta.lowest(low, 22)
tv_high20 = ta.highest(high[1], 20)
tv_distanceFrom90Low = tv_low90 > 0 ? ((close - tv_low90) / tv_low90) * 100 : na
tv_distanceFromBaseLow = tv_baseLow > 0 ? ((close - tv_baseLow) / tv_baseLow) * 100 : na
tv_recentRunup = tv_low22 > 0 ? ((close - tv_low22) / tv_low22) * 100 : na
tv_performance1w = close[5] > 0 ? ((close - close[5]) / close[5]) * 100 : na
tv_performanceWindow = close[5] > 0 ? ((close - close[5]) / close[5]) * 100 : na
tv_sessionPerformance = close[1] > 0 ? ((close - close[1]) / close[1]) * 100 : na
tv_sessionPerformanceOk = tv_sessionPerformance >= -1000 and tv_sessionPerformance <= 1000
tv_performanceOk = tv_performance1w >= -1000 and tv_performance1w <= 1000
tv_performanceWindowOk = tv_performanceWindow >= -1000 and tv_performanceWindow <= 1000
tv_volumeOk = tv_volumeRatio >= 1.5
tv_weeklyVolumeOk = tv_volume1wRatio >= 1.5
tv_twoWeekVolumeOk = tv_volume2wRatio >= 1.5
tv_rsiOk = tv_rsiValue <= 68
tv_distanceOk = tv_distanceFrom90Low <= 40
tv_baseLowOk = tv_distanceFromBaseLow <= 40
tv_runupOk = tv_recentRunup <= 25
tv_breakoutOk = close >= tv_high20
tv_signal = tv_volumeOk and tv_rsiOk and tv_distanceOk and tv_baseLowOk and tv_runupOk and tv_volumeOk and tv_weeklyVolumeOk and tv_twoWeekVolumeOk and tv_rsiOk
plotshape(tv_signal, title="TickerVoice signal", style=shape.triangleup, location=location.belowbar, color=color.lime, size=size.small, text="TV")
plot(tv_sessionPerformance, title="TickerVoice Session Performance %", color=color.lime, display=display.data_window)
plot(tv_performance1w, title="TickerVoice 1W Performance %", color=color.aqua, display=display.data_window)
plot(tv_performanceWindow, title="TickerVoice Window Performance %", color=color.green, display=display.data_window)
plot(tv_volumeRatio, title="TickerVoice Volume Ratio", color=color.orange, display=display.data_window)
plot(tv_volume1wRatio, title="TickerVoice 1W Volume Ratio", color=color.yellow, display=display.data_window)
plot(tv_volume2wRatio, title="TickerVoice 2W Volume Ratio", color=color.fuchsia, display=display.data_window)
plot(tv_rsiValue, title="TickerVoice RSI", color=color.purple, display=display.data_window)
if tv_signal and not tv_signal[1]
strategy.entry("TV_user_defined_recovery_reversal Long", strategy.long)
if strategy.position_size > 0 and (tv_rsiValue > 75 or close < ta.sma(close, 20))
strategy.close("TV_user_defined_recovery_reversal Long")Bonus check
SSI from TradingView Minds, Reddit trader groups, Stocktwits, Yahoo Finance Community and Investing.com Forum; SPE price-emotion divergence, high-volume sideways, good-news exit risk, triple resonance.
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About us
For more than ten years I traded markets while testing different SaaS tools, screeners, alerts and report systems. Many of them were useful, but none fully matched the way I wanted to work as a swing trader: fast idea capture, measurable search rules, live ticker discovery, recurring reports and a clean path from market question to decision support.
In the AI era I finally managed to build something that feels natural for my own workflow: say or type a free-form market idea, let TickerPrompt translate it into scanner logic, and let TickerVoice turn the result into signals, watchlists, charts and reports. I made it first for myself, and now I am sharing it with you.
Sincerely yours, Eitan Lasker, trader