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ac-nh-turnip-prices
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Merge pull request #106 from mikebryant/fudge-factor

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fix: Add a fudge factor
master
Mike Bryant 4 years ago committed by GitHub
parent 46929bd556 6cfc140173
commit 0634b5e64c
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GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 18 additions and 14 deletions
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32
js/predictions.js
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@ -1,3 +1,7 @@
// The reverse-engineered code is not perfectly accurate, especially as it's not
// 32-bit ARM floating point. So, be tolerant of slightly unexpected inputs
const FUDGE_FACTOR = 5;
const PATTERN = {
FLUCTUATING: 0,
LARGE_SPIKE: 1,
@ -105,7 +109,7 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
min_pred = intceil(0.9 * buy_price);
max_pred = intceil(1.4 * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -128,7 +132,7 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -152,7 +156,7 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
min_pred = intceil(0.9 * buy_price);
max_pred = intceil(1.4 * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -175,7 +179,7 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -202,7 +206,7 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
min_pred = intceil(0.9 * buy_price);
max_pred = intceil(1.4 * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -282,7 +286,7 @@ function* generate_pattern_1_with_peak(given_prices, peak_start) {
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -309,7 +313,7 @@ function* generate_pattern_1_with_peak(given_prices, peak_start) {
max_pred = intceil(max_randoms[i - peak_start] * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -370,7 +374,7 @@ function* generate_pattern_2(given_prices) {
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -448,7 +452,7 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -473,7 +477,7 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
min_pred = intceil(0.9 * buy_price);
max_pred = intceil(1.4 * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -491,7 +495,7 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
min_pred = intceil(1.4 * buy_price) - 1;
max_pred = intceil(2.0 * buy_price) - 1;
if (!isNaN(given_prices[peak_start + 2])) {
if (given_prices[peak_start + 2] < min_pred || given_prices[peak_start + 2] > max_pred) {
if (given_prices[peak_start + 2] < min_pred - FUDGE_FACTOR || given_prices[peak_start + 2] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -507,7 +511,7 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
min_pred = predicted_prices[peak_start + 2].min;
max_pred = intceil(2.0 * buy_price);
if (!isNaN(given_prices[peak_start + 3])) {
if (given_prices[peak_start + 3] < min_pred || given_prices[peak_start + 3] > max_pred) {
if (given_prices[peak_start + 3] < min_pred - FUDGE_FACTOR || given_prices[peak_start + 3] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -523,7 +527,7 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
min_pred = intceil(1.4 * buy_price) - 1;
max_pred = predicted_prices[peak_start + 3].max - 1;
if (!isNaN(given_prices[peak_start + 4])) {
if (given_prices[peak_start + 4] < min_pred || given_prices[peak_start + 4] > max_pred) {
if (given_prices[peak_start + 4] < min_pred - FUDGE_FACTOR || given_prices[peak_start + 4] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}
@ -545,7 +549,7 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
if (given_prices[i] < min_pred - FUDGE_FACTOR || given_prices[i] > max_pred + FUDGE_FACTOR) {
// Given price is out of predicted range, so this is the wrong pattern
return;
}

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