stochastic-trading

Name: stochastic-trading
Author: SKE-Labs

15stars2forks

How to install stochastic-trading?

ske-labs/agent-trading-skills/stochastic-trading

$npx -y skills add SKE-Labs/agent-trading-skills --skill stochastic-trading

Installs into the current project.

Summary

Define and test Stochastic percent-K/percent-D states, crosses, and divergence. Use when calibrating oscillator bands, trend interactions, closed-bar entries, exits, and turnover.

Files · 1

View on GitHub

SKILL.md

1	# Stochastic Oscillator Trading
2
3	Stochastic measures momentum by comparing closing price to the price range over a period.
4
5	## Components
6
7	\| Line \| Description \| Use \|
8	\| ---- \| ------------------------- \| -------------- \|
9	\| %K \| Main line (fast) \| Primary signal \|
10	\| %D \| Signal line (3-SMA of %K) \| Confirmation \|
11
12	## Signals
13
14	### Overbought/Oversold Reversals
15
16	- Define low/high bands from training data or use 20/80 only as conventional seeds; a cross creates a candidate trigger, not an automatic trade
17
18	### %K/%D Crossover
19
20	- %K crosses above %D → bullish feature; test interaction with oscillator zone
21	- %K crosses below %D → bearish
22
23	### Divergence
24
25	- Price new high + Stochastic lower high → bearish
26	- Price new low + Stochastic higher low → bullish
27
28	### Momentum
29
30	- %K above 50 and rising → bullish momentum
31	- %K below 50 and falling → bearish momentum
32
33	## Market-Specific Strategies
34
35	### Ranging Markets
36	- Apply calibrated low/high exit-cross rules
37	- Target: opposite zone
38
39	### Trending Markets
40	- Define trend objectively and test trend-direction filters; persistent extremes are possible
41
42	## Workflow
43
44	1. Get Stochastic:
45	```
46	get_indicators(indicator_code="stoch", symbol=<symbol>, exchange=<exchange>, interval=<interval>)
47	```
48
49	2. Determine market type (trending vs ranging) to select strategy
50
51	3. Check for %K/%D cross in OB/OS zone
52
53	4. Confirm with candle data:
54	```
55	get_candles_around_date(symbol=<symbol>, exchange=<exchange>, interval=<interval>, date=<date>)
56	```
57
58	5. Enter with confirmation candle; stop beyond recent swing
59
60	## Evidence and Validation
61
62	- Treat the setup as a testable hypothesis, not a prediction. Define thresholds, entry, invalidation, and exit before evaluating outcomes.
63	- Calibrate on the same instrument, venue, session, and timeframe. Use closed candles and a held-out or walk-forward sample; record every variant tried.
64	- 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.
65	- Return observed inputs, missing data, cost assumptions, entry, invalidation, exit, and a valid, watch, or no-trade status.
66	- Research basis: The [technical-rule evidence](https://pmc.ncbi.nlm.nih.gov/articles/PMC4583561/) finds stochastic-rule performance differs across markets and is not reliably positive after transaction costs.
67
68	## Key Rules
69
70	- Never trade from an extreme label alone; require the predeclared closed-bar rule.
71	- Calibrate divergence pivots, spacing, and oscillator bands.
72	- Test with/against-trend variants rather than assuming the filter adds edge.
73	- Treat 14/3/3 as a conventional baseline; record all parameter variants and turnover.
74
75	## Related Skills
76
77	- rsi-divergence — Stochastic divergence + RSI divergence together strengthens reversal signals
78	- bollinger-bands — test stochastic state at volatility-envelope extremes as a combined feature

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stochastic-trading

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View on GitHub

How to install stochastic-trading?

ske-labs/agent-trading-skills/stochastic-trading

$npx -y skills add SKE-Labs/agent-trading-skills --skill stochastic-trading

Installs into the current project.

Summary

Define and test Stochastic percent-K/percent-D states, crosses, and divergence. Use when calibrating oscillator bands, trend interactions, closed-bar entries, exits, and turnover.

Files · 1

View on GitHub

SKILL.md

1	# Stochastic Oscillator Trading
2
3	Stochastic measures momentum by comparing closing price to the price range over a period.
4
5	## Components
6
7	\| Line \| Description \| Use \|
8	\| ---- \| ------------------------- \| -------------- \|
9	\| %K \| Main line (fast) \| Primary signal \|
10	\| %D \| Signal line (3-SMA of %K) \| Confirmation \|
11
12	## Signals
13
14	### Overbought/Oversold Reversals
15
16	- Define low/high bands from training data or use 20/80 only as conventional seeds; a cross creates a candidate trigger, not an automatic trade
17
18	### %K/%D Crossover
19
20	- %K crosses above %D → bullish feature; test interaction with oscillator zone
21	- %K crosses below %D → bearish
22
23	### Divergence
24
25	- Price new high + Stochastic lower high → bearish
26	- Price new low + Stochastic higher low → bullish
27
28	### Momentum
29
30	- %K above 50 and rising → bullish momentum
31	- %K below 50 and falling → bearish momentum
32
33	## Market-Specific Strategies
34
35	### Ranging Markets
36	- Apply calibrated low/high exit-cross rules
37	- Target: opposite zone
38
39	### Trending Markets
40	- Define trend objectively and test trend-direction filters; persistent extremes are possible
41
42	## Workflow
43
44	1. Get Stochastic:
45	```
46	get_indicators(indicator_code="stoch", symbol=<symbol>, exchange=<exchange>, interval=<interval>)
47	```
48
49	2. Determine market type (trending vs ranging) to select strategy
50
51	3. Check for %K/%D cross in OB/OS zone
52
53	4. Confirm with candle data:
54	```
55	get_candles_around_date(symbol=<symbol>, exchange=<exchange>, interval=<interval>, date=<date>)
56	```
57
58	5. Enter with confirmation candle; stop beyond recent swing
59
60	## Evidence and Validation
61
62	- Treat the setup as a testable hypothesis, not a prediction. Define thresholds, entry, invalidation, and exit before evaluating outcomes.
63	- Calibrate on the same instrument, venue, session, and timeframe. Use closed candles and a held-out or walk-forward sample; record every variant tried.
64	- 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.
65	- Return observed inputs, missing data, cost assumptions, entry, invalidation, exit, and a valid, watch, or no-trade status.
66	- Research basis: The [technical-rule evidence](https://pmc.ncbi.nlm.nih.gov/articles/PMC4583561/) finds stochastic-rule performance differs across markets and is not reliably positive after transaction costs.
67
68	## Key Rules
69
70	- Never trade from an extreme label alone; require the predeclared closed-bar rule.
71	- Calibrate divergence pivots, spacing, and oscillator bands.
72	- Test with/against-trend variants rather than assuming the filter adds edge.
73	- Treat 14/3/3 as a conventional baseline; record all parameter variants and turnover.
74
75	## Related Skills
76
77	- rsi-divergence — Stochastic divergence + RSI divergence together strengthens reversal signals
78	- bollinger-bands — test stochastic state at volatility-envelope extremes as a combined feature

People who liked this also viewed

6 picks

Type