priceprop

Unverified Other strategy on Multi by felixpatzelt. BotFinder score 18 out of 100.

Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.

Source: github

Explorer/Multi/priceprop
18
Data index
MultiMedium risk⚠ Unverified

priceprop

felixpatzeltGitHub
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Max drawdown
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Sharpe
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Profit factor
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Win rate
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Track record
9.1y
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About

priceprop

PriceProp ========= Simulate and calibrate linear propagator models for price responses to an external order flow. The models and methods are explained and applied to real high-frequency trading data in: Patzelt, F. and Bouchaud, J-P. (2017): Nonlinear price impact from linear models. Journal of Statistical Mechanics: Theory and Experiment, 12, 123404. Preprint at arXiv:1708.02411 . ===================== ====================================================== Function Synopsis ===================== ====================================================== Gpow Return power law Propagator kernel betafromgamma Return exponent beta for a power law propagator kernel that decorrelates an input with a pure power law autocorrelation with exponent gamma calibratehdim2 Calibrate two-kernel History Dependent Impact Model calibratetim1 Calibrate original Transient Impact Model calibratetim2 Calibrate two-kernel Transient Impact Model hdim2 Simulate two-kernel History Dependent Impact Model integrate Return lag 1 sum, i.e. convert a differential kernel to a "bare response". kpow Return differential

PythonMITOpen-sourcehigh-frequency-tradingkernel-modellinear-modelsmodelingpandaspropagatorspythonscientific
Track record

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Verification ledger

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Prop-firm compatibility

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Source
felixpatzelt
Since 2022 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars24
Forks10
Open issues1
LanguagePython
LicenseMIT
Last update2018-01-16
Created2017-09-29
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