This strategy evaluates trading opportunities using a probabilistic scoring model combined with Smart Money Concepts (SMC) pattern detection, including Break of Structure (BOS), Fair Value Gaps (FVG), and Order Blocks.
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
The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.
Overview
Institutional HFT Engine - QuantAlgo overlays signals directly on the price chart and filters trades using London and New York killzone sessions alongside multi-timeframe bias alignment. The risk engine manages position sizing via percentage-based risk, daily drawdown limits, and cooldown periods after consecutive losses. Strategy exits rely on dual take-profit levels based on risk/reward ratios, breakeven adjustments, and trailing stops.
Probabilistic scoring system with configurable entry thresholds
Smart Money Concepts including BOS, FVG, and order blocks
Institutional risk engine with daily drawdown limits and cooldown periods
Session-based killzone filtering for London and New York trading
Multi-target execution with breakeven automation and trailing stops
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Base Risk Per Trade (%)
float
1.0
inp_risk_pct
Max Daily Drawdown (%)
float
4.0
inp_max_dd_day
Max Consec Losses (Pause)
int
3
inp_max_losses
Cooldown Bars After Loss
int
5
inp_cooldown
Dynamic Risk Scaling (Anti-Drawdown)
bool
true
inp_dynamic_risk
Base Score Threshold (0-100)
float
65.0
inp_min_score
Strict Mode (Wait for perfect alignments)
bool
true
inp_strict_mode
Swing / Liquidity Lookback
int
7
inp_bos_len
FVG Min Size (x ATR)
float
0.5
inp_fvg_min
TP1 Risk/Reward Ratio
float
1.5
inp_tp1_rr
TP2 Risk/Reward Ratio
float
3.0
inp_tp2_rr
Volatility Trailing on TP2
bool
true
inp_use_trailing
Show all 18 settings
Setting
Type
Default
Variable
Break-Even Offset (x ATR)
float
0.2
inp_be_offset
Show Godmode Dashboard
bool
true
show_dashboard
Show Entry/Exit Labels
bool
true
show_labels
Show FVG Zones
bool
true
show_fvg
Show Order Blocks
bool
true
show_ob
Use London & NY Killzones Only
bool
true
use_killzones
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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