JAT+BSM Pro v13 Extended is a multi-timeframe trading strategy overlay that combines kinematic regression models, Bayesian inference, and consolidation zone analysis.
1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
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Overview
JAT+BSM Pro v13 Extended processes multi-layer volatility bands, volume profile buckets, and pattern structure targets across short, medium, and long timeframes to project market trend trajectories. User settings allow tuning of volatility multipliers, Bayesian lookbacks, model weighting, pattern tolerances, and cross-asset synergy requirements on the price chart.
Kinematic regression and Bayesian inference forecasting
Consolidation zone identification and volume profile metrics
Multi-timeframe conic projections and pattern structure analysis
Customizable model weights and multi-layer period settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Base Vol Coefficient
float
1.5
b_cf
Common Period
int
14
al_pr
Source
source
close
al_sr
HTF Background TF
timeframe
15
hf_in
Layer 1 Period (Micro)
int
20
c_l1
Layer 2 Period (Macro)
int
40
c_l2
Layer 3 Period (Global)
int
80
c_l3
Volume Profile Buckets
int
10
vp_bk
Breakout Fib Multiplier
float
1.618
bk_ml
Show Candlestick Labels
bool
true
sh_cp
Draw Macro Pattern Lines
bool
true
sh_mp
Pivot Lookback
int
10
pv_lb
Show all 40 settings
Setting
Type
Default
Variable
Pattern Tolerance (%)
float
0.02
st_tl
Bullish Pattern Color
color
color.new(color.lime, 0)
p_clB
Bearish Pattern Color
color
color.new(color.red, 0)
p_clR
Short Conic TF
timeframe
5
tf_sh
Medium Conic TF
timeframe
15
tf_md
Long Conic TF
timeframe
60
tf_lg
Short Conic LB
int
10
kn_lb_s
Medium Conic LB
int
20
kn_lb_m
Long Conic LB
int
40
kn_lb_l
Bayesian Horizon Offset
int
20
by_hz
Feedback Learn Rate
float
0.1
lr_rt
Bayesian Lookback
int
500
by_lb
Enable Mean Reversion Gravity
bool
true
en_mr
Conic Refresh Mode
string
After target hit/miss
up_md
Model Weights (Kin / Bayes / MR)
text
1.0 0.5 0.2
0.2 1.0 0.5
0.5 0.2 1.0
wt_in
Require Cross-Asset Synergy
bool
true
rq_syn
Relaxed Synergy (any 1 of 3)
bool
true
rl_md
MACD Fast Length
int
12
f_ln
MACD Slow Length
int
26
s_ln
MACD Signal Length
int
9
sg_ln
Primary Symbol
symbol
NASDAQ:AAPL
s_1
Correlation Symbol 2
symbol
NASDAQ:MSFT
s_2
Correlation Symbol 3
symbol
NASDAQ:GOOG
s_3
Max Concurrent Trades
int
3
mx_tr
Stop ATR Multiplier
float
1.1
rk_bf
Target Risk:Reward
float
2.0
rw_ml
Risk-Free Rate
float
0.05
rf_rt
Days to Expiration
float
30.0
t_ex
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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