A candlestick pattern screener, free.

What you get

• Bullish and bearish engulfing, doji variants, hammer families, stars, harami, marubozu and multi-candle formations
• Pattern definitions evaluated on closed candles without using later bars to rewrite an earlier match
• Nested AND, OR and NOT groups for adding location, trend, momentum or participation context
• Universes up to the top 200 liquid markets instead of requiring one symbol to be checked at a time
• One-away results that show symbols failing exactly one condition, useful when a screen is too strict
• Historical screen testing and recurring monitoring using the same saved condition tree
• CSV export of matches and misses for reviewing a pattern beyond the examples visible today

Why this is usually paid for

Pattern scanners are often sold as signal products because they convert visual chart reading into a market-wide list. The scan is more convenient than checking hundreds of charts, and convenience is easy to gate by result count, refresh rate, supported patterns or the ability to add confirmation filters.

Basis computes the pattern conditions and supporting indicators in the browser against public candles, so there is no per-scan signal fee to ration. More importantly, patterns sit inside the general screener rather than inside a fixed bullish-or-bearish signal list, which lets the user define the context that makes a formation worth reviewing.

A candlestick shape is not a complete strategy. The same hammer can be meaningful after a liquidation flush into support and meaningless halfway through a quiet range. A useful scan narrows attention; it does not replace location, market regime, execution costs or a predefined invalidation.

How to use it

1. 1

   Choose one pattern family

   Start with a specific formation such as bullish engulfing rather than combining every bullish pattern into one list. A precise hypothesis is easier to test and produces results that can be compared across time.

2. 2

   Add location or regime

   Require the pattern to occur near a recent low, below a volatility band, after a defined decline or inside a higher-timeframe trend. The formation should describe the trigger while another condition explains why that trigger matters here.

3. 3

   Use participation as confirmation

   Add relative volume, money flow or order-flow context when the hypothesis depends on real demand or supply. A dramatic shape in an illiquid market can be produced by very little capital and should not rank beside the same shape on broad participation.

4. 4

   Test the screen before monitoring it

   Replay the same closed-candle definition across history, include realistic fees and inspect one-away results. Only after the rule behaves consistently should it become a recurring alert; otherwise automation merely repeats an untested story faster.

Questions

Also free