Supply Demand Zones

Supply & Demand Zone Trading

Supply/demand zones are candle-range heuristics around a base before a directional departure. OHLC data alone does not reveal institutional accumulation, distribution, or resting inventory.

Zone Identification

Demand Zone (Buy Area)

• Price dropped, formed a base under a predeclared bar/range rule, then rallied by a normalized departure threshold
• Zone = the consolidation base before the rally (draw from base low to base high)

Supply Zone (Sell Area)

• Price rallied, formed a base under the same rule, then dropped by a normalized threshold
• Zone = the consolidation base before the drop (draw from base high to base low)

Zone Quality

Treat retest count as a feature. Estimate first and later retest outcomes with a fixed expiry; do not assume monotonic weakening.

Entry Strategies

Set & Forget

• Limit order at zone edge, stop beyond opposite edge

Confirmation Entry

• Wait for price to enter zone, look for rejection candle (pin bar, engulfing), enter on confirmation

Refined Zone Entry

• Use LTF to find order block or FVG within the zone for tighter stop

Workflow

1. Get candle data on HTF (4H/Daily) to identify zones:

   get_candles_around_date(symbol=<symbol>, exchange=<exchange>, interval=<interval>, date=<date>)
   

2. Mark zones on chart:

   draw_chart_analysis(action="create", drawing={
       "type": "demand",
       "points": [
           {"time": <zone_start_time>, "price": <zone_top>},
           {"time": <zone_end_time>, "price": <zone_bottom>}
       ],
       "options": {"text": "Fresh Demand Zone"}
   })
   

3. Confirm with indicators:

   get_indicators(indicator_code="rsi", symbol=<symbol>, exchange=<exchange>, interval=<interval>)
   

   Check for oversold/overbought at zone.

4. Wait for price to return to zone. Enter with confirmation or limit order. Stop beyond zone. Target: next opposing zone.

Evidence and Validation

• Treat the setup as a testable hypothesis, not a prediction. Define thresholds, entry, invalidation, and exit before evaluating outcomes.
• Calibrate on the same instrument, venue, session, and timeframe. Use closed candles and a held-out or walk-forward sample; record every variant tried.
• Include spread, fees, slippage, borrow or funding, partial fills, and latency. Reject the setup when net expectancy is not positive or depends on one narrow parameter.
• Return observed inputs, missing data, cost assumptions, entry, invalidation, exit, and a valid, watch, or no-trade status.
• Research basis: Empirical limit-order clustering research supports price barriers at clustered levels, but candle zones do not reveal unfilled institutional inventory.

Key Rules

• Define base, departure, zone bounds, retest, expiry, and invalidation without hindsight.
• Normalize departure by ATR, ticks, and bars; do not call it order imbalance without order-flow evidence.
• Treat the construct as a support/resistance zone, not unfilled institutional orders.
• Test retest age/count and lower-timeframe refinement for incremental net value.
• Keep broken, never-retested, and expired zones in the denominator.

Related Skills

• volume-profile-trading — volume profile HVNs confirm S/D zone strength
• fibonacci-trading — Fib retracements into S/D zones provide high-confluence entries