supply-demand-zones

Name: supply-demand-zones
Author: SKE-Labs

15stars2forks

How to install supply-demand-zones?

ske-labs/agent-trading-skills/supply-demand-zones

$npx -y skills add SKE-Labs/agent-trading-skills --skill supply-demand-zones

Installs into the current project.

Summary

Define and test supply/demand-style base-and-departure candle zones. Use when planning support/resistance hypotheses without inferring unfilled institutional inventory.

Files · 1

View on GitHub

SKILL.md

1	# Supply & Demand Zone Trading
2
3	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.
4
5	## Zone Identification
6
7	### Demand Zone (Buy Area)
8	- Price dropped, formed a base under a predeclared bar/range rule, then rallied by a normalized departure threshold
9	- Zone = the consolidation base before the rally (draw from base low to base high)
10
11	### Supply Zone (Sell Area)
12	- Price rallied, formed a base under the same rule, then dropped by a normalized threshold
13	- Zone = the consolidation base before the drop (draw from base high to base low)
14
15	## Zone Quality
16
17	\| Factor \| Strong Zone \| Weak Zone \|
18	\| ---------------- \| ------------------- \| ------------------ \|
19	\| Departure \| Large/small ATR-normalized move over fixed bars \|
20	\| Time at base \| Bar count and range/ATR \|
21	\| Retests \| Count, depth, and age \|
22	\| Context \| Objective higher-timeframe state \|
23
24	Treat retest count as a feature. Estimate first and later retest outcomes with a fixed expiry; do not assume monotonic weakening.
25
26	## Entry Strategies
27
28	### Set & Forget
29	- Limit order at zone edge, stop beyond opposite edge
30
31	### Confirmation Entry
32	- Wait for price to enter zone, look for rejection candle (pin bar, engulfing), enter on confirmation
33
34	### Refined Zone Entry
35	- Use LTF to find order block or FVG within the zone for tighter stop
36
37	## Workflow
38
39	1. Get candle data on HTF (4H/Daily) to identify zones:
40	```
41	get_candles_around_date(symbol=<symbol>, exchange=<exchange>, interval=<interval>, date=<date>)
42	```
43
44	2. Mark zones on chart:
45	```
46	draw_chart_analysis(action="create", drawing={
47	"type": "demand",
48	"points": [
49	{"time": <zone_start_time>, "price": <zone_top>},
50	{"time": <zone_end_time>, "price": <zone_bottom>}
51	],
52	"options": {"text": "Fresh Demand Zone"}
53	})
54	```
55
56	3. Confirm with indicators:
57	```
58	get_indicators(indicator_code="rsi", symbol=<symbol>, exchange=<exchange>, interval=<interval>)
59	```
60	Check for oversold/overbought at zone.
61
62	4. Wait for price to return to zone. Enter with confirmation or limit order. Stop beyond zone. Target: next opposing zone.
63
64	## Evidence and Validation
65
66	- Treat the setup as a testable hypothesis, not a prediction. Define thresholds, entry, invalidation, and exit before evaluating outcomes.
67	- Calibrate on the same instrument, venue, session, and timeframe. Use closed candles and a held-out or walk-forward sample; record every variant tried.
68	- 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.
69	- Return observed inputs, missing data, cost assumptions, entry, invalidation, exit, and a valid, watch, or no-trade status.
70	- Research basis: Empirical [limit-order clustering research](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=966454) supports price barriers at clustered levels, but candle zones do not reveal unfilled institutional inventory.
71
72	## Key Rules
73
74	- Define base, departure, zone bounds, retest, expiry, and invalidation without hindsight.
75	- Normalize departure by ATR, ticks, and bars; do not call it order imbalance without order-flow evidence.
76	- Treat the construct as a support/resistance zone, not unfilled institutional orders.
77	- Test retest age/count and lower-timeframe refinement for incremental net value.
78	- Keep broken, never-retested, and expired zones in the denominator.
79
80	## Related Skills
81
82	- volume-profile-trading — volume profile HVNs confirm S/D zone strength
83	- fibonacci-trading — Fib retracements into S/D zones provide high-confluence entries

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supply-demand-zones

15stars2forks

View on GitHub

How to install supply-demand-zones?

ske-labs/agent-trading-skills/supply-demand-zones

$npx -y skills add SKE-Labs/agent-trading-skills --skill supply-demand-zones

Installs into the current project.

Summary

Define and test supply/demand-style base-and-departure candle zones. Use when planning support/resistance hypotheses without inferring unfilled institutional inventory.

Files · 1

View on GitHub

SKILL.md

1	# Supply & Demand Zone Trading
2
3	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.
4
5	## Zone Identification
6
7	### Demand Zone (Buy Area)
8	- Price dropped, formed a base under a predeclared bar/range rule, then rallied by a normalized departure threshold
9	- Zone = the consolidation base before the rally (draw from base low to base high)
10
11	### Supply Zone (Sell Area)
12	- Price rallied, formed a base under the same rule, then dropped by a normalized threshold
13	- Zone = the consolidation base before the drop (draw from base high to base low)
14
15	## Zone Quality
16
17	\| Factor \| Strong Zone \| Weak Zone \|
18	\| ---------------- \| ------------------- \| ------------------ \|
19	\| Departure \| Large/small ATR-normalized move over fixed bars \|
20	\| Time at base \| Bar count and range/ATR \|
21	\| Retests \| Count, depth, and age \|
22	\| Context \| Objective higher-timeframe state \|
23
24	Treat retest count as a feature. Estimate first and later retest outcomes with a fixed expiry; do not assume monotonic weakening.
25
26	## Entry Strategies
27
28	### Set & Forget
29	- Limit order at zone edge, stop beyond opposite edge
30
31	### Confirmation Entry
32	- Wait for price to enter zone, look for rejection candle (pin bar, engulfing), enter on confirmation
33
34	### Refined Zone Entry
35	- Use LTF to find order block or FVG within the zone for tighter stop
36
37	## Workflow
38
39	1. Get candle data on HTF (4H/Daily) to identify zones:
40	```
41	get_candles_around_date(symbol=<symbol>, exchange=<exchange>, interval=<interval>, date=<date>)
42	```
43
44	2. Mark zones on chart:
45	```
46	draw_chart_analysis(action="create", drawing={
47	"type": "demand",
48	"points": [
49	{"time": <zone_start_time>, "price": <zone_top>},
50	{"time": <zone_end_time>, "price": <zone_bottom>}
51	],
52	"options": {"text": "Fresh Demand Zone"}
53	})
54	```
55
56	3. Confirm with indicators:
57	```
58	get_indicators(indicator_code="rsi", symbol=<symbol>, exchange=<exchange>, interval=<interval>)
59	```
60	Check for oversold/overbought at zone.
61
62	4. Wait for price to return to zone. Enter with confirmation or limit order. Stop beyond zone. Target: next opposing zone.
63
64	## Evidence and Validation
65
66	- Treat the setup as a testable hypothesis, not a prediction. Define thresholds, entry, invalidation, and exit before evaluating outcomes.
67	- Calibrate on the same instrument, venue, session, and timeframe. Use closed candles and a held-out or walk-forward sample; record every variant tried.
68	- 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.
69	- Return observed inputs, missing data, cost assumptions, entry, invalidation, exit, and a valid, watch, or no-trade status.
70	- Research basis: Empirical [limit-order clustering research](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=966454) supports price barriers at clustered levels, but candle zones do not reveal unfilled institutional inventory.
71
72	## Key Rules
73
74	- Define base, departure, zone bounds, retest, expiry, and invalidation without hindsight.
75	- Normalize departure by ATR, ticks, and bars; do not call it order imbalance without order-flow evidence.
76	- Treat the construct as a support/resistance zone, not unfilled institutional orders.
77	- Test retest age/count and lower-timeframe refinement for incremental net value.
78	- Keep broken, never-retested, and expired zones in the denominator.
79
80	## Related Skills
81
82	- volume-profile-trading — volume profile HVNs confirm S/D zone strength
83	- fibonacci-trading — Fib retracements into S/D zones provide high-confluence entries

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6 picks

Type