Stock_market.nlogo

; ------------------------------------------------------------------------------------------
;
; a simplified stock market simulation
;
;
; Author:
; Jihe.Gao@jiejiaotech.com
;
; ------------------------------------------------------------------------------------------
; NetLogo requires that the extensions directive resides on the first line of code
extensions [matrix stats csv web time]

breed [Stocks stock]
breed [Investors investor]

__includes ["communication.nls" "bidding.nls" "stockexchange.nls" "gp.nls"]

globals [
  global-wealth
  initial-wealth-distribution
  h-prices
  total-dealed-volume
  dividends  ; intrinsic value, imported by .csv
  max-networth
  data
]


turtles-own [ incoming-queue ]           ; for communication


Investors-own [
  informed?
  money_initial             ;
  money
  networth
  shares-dealed-tick
  portfolio
  watch-agent
  strategy
  expectation
  l-freq       ;learning-frequency - 控制Investor学习时机
  init-l-freq
]





to setup
  clear-all
  ask patches [set pcolor black]

  setup-stocks 1
  set gp-current-stock stock 0
  set h-prices []
  reset-ticks

  set-default-shape turtles "Person"
  setup-investors Investor-population

  set global-wealth sum [money] of investors
  ;; temporally remove chooser ""initial-wealth-distribution", to run online demo which cannot read string input
  set initial-wealth-distribution "normal"
  ;;
  ask investors [
    allocate-money
    set l-freq 2 + random 8   ; 1 to 30
    set init-l-freq l-freq
    update-networth
  ]
end


; run-options:
;    - generate-price steps - generate historical prices with previous investing strategy
;    - gp-learn             - learning new investing strategy using historical stock prices
;
to go
  ; investors procedures
  update-expectation
  make-bidding

  ; stock exchange procedures
  set total-dealed-volume 0
  ask Stocks [
    collect-bids-and-make-deal
    update-stock-tables
    set h-prices lput price h-prices
  ]

  ; investors procedures
  update-position
  update-networth

  if ticks >= initial-random-walk-steps [
    if not any? codeturtles [gp-setup]
    gp-go
  ]
  if ticks >= length dividends - 1 [stop]
  tick
end


;------------------------------------------------;
;----------------- GO SUBRUTINES ----------------;
;------------------------------------------------;
to setup-investors [number-investors]
  create-investors number-investors
  [
    set color black
    setxy random-xcor random-ycor
    set incoming-queue []
    set expectation [price] of stock 0 + random 10 - random 10
;    set networth [ ]
  ]

  ask n-of (noise-ratio / 100 * count investors) investors [ set color white ]
  ask n-of (%-informed / 100 * count investors with [color != white]) investors with [color != white][set informed? true   set color blue ]
  ask investors with [color = black][ set informed? false   set color red  ]
  update-expectation
end



to update-expectation
  ask Investors [
    ifelse color = white
    [ set expectation [ round (intr-value) + random 5 - random 5 ] of stock 0 ]     ; noise investors
    [
      ifelse ticks < initial-random-walk-steps + who
      [ set expectation [price + random 5 - random 5 ] of Stock 0 ]
      [
        ifelse (l-freq = 0 or watch-agent = 0) [
          set l-freq init-l-freq
          update-strategy
        ][ set l-freq l-freq - 1 ]
      if strategy != 0 [ run strategy set expectation round expectation]
    ] ]
  ]
  update-ycor
end


to update-ycor
  ask Investors [
    let new-pos expectation / max [expectation] of Investors  * max-pycor * 0.9
    set ycor ifelse-value (new-pos > 0) [ new-pos] [0]
  ]
end


to update-strategy
  ask Investors with [color = red][
    ; uninformed investor can choose strategies without intr-value
    if any? codeturtles with [not member? "intr-value" gp-compiledcode][
      set watch-agent min-one-of codeturtles with [not member? "intr-value" gp-compiledcode] [ gp-calculate-fitness [init-l-freq] of myself ]
      set strategy [gp-compiledcode] of watch-agent
    ]
  ]
  ask Investors with [color = blue][
    if any? codeturtles [
      set watch-agent min-one-of codeturtles [ gp-calculate-fitness [init-l-freq] of myself ]
      set strategy [gp-compiledcode] of watch-agent
    ]
  ]
end



to update-networth
  ask Investors [
    set networth money + portfolio * [price] of stock 0
  ]
  set max-networth max [networth] of Investors
end



;;
to make-bidding
  ask Investors [
    if (expectation - [price] of stock 0) / [price] of stock 0 > 0.05 and money >= [price] of stock 0 [
      send-order one-of (list "bl" "bm") 0 (round ([price] of stock 0 + (random abs (expectation - [price] of stock 0)))) 1 ; [ "buy-limit" stock-name order-price #share ]
    ]
    if (expectation - [price] of stock 0) / [price] of stock 0 < -0.05 [
      send-order one-of (list "sl" "sm") 0 (round ([price] of stock 0 - (random abs (expectation - [price] of stock 0)))) 1 ; [ "sell-limit" stock-name order-price #share ]
    ]
  ]
end


to send-order [performative stock-id order-price num-shares]
  if performative = "bl" [
    let msg add-content (list order-price num-shares) create-message "bl"
    send add-receiver stock-id msg
  ]
  if performative = "bm" [  ; buy market order
    let msg add-content (list order-price  num-shares) create-message "bl"
    send add-receiver stock-id msg
  ]
  if performative = "sl" [  ; sell limit order
    let msg add-content (list order-price num-shares) create-message "sl"
    send add-receiver stock-id msg
  ]
  if performative = "sm" [  ; sell market order
    let msg add-content (list order-price num-shares) create-message "sl"
    send add-receiver stock-id msg
  ]

end


to update-position
  ask Investors [
    set shares-dealed-tick 0
    let msg 0
    let performative 0
    while [not empty? incoming-queue]
    [
      set msg get-message  ;;["buy-order-executed" "sender:2" "content:" [10 1] "receiver:6"]
      set performative get-performative msg
      let content get-content msg      ;; [10 1]
      let dealed-price first content  ;; 10
      let exchange-informed-dealed-volume last content  ;; 1
      let s get-sender msg  ;; (who number) 2
      set shares-dealed-tick shares-dealed-tick + last content

      if performative = "buy-order-executed"
      [
        ;replace-item index list value
        set portfolio portfolio + exchange-informed-dealed-volume
        set money money - dealed-price * exchange-informed-dealed-volume
      ]
      if performative = "sell-order-executed"
      [
        set portfolio portfolio - exchange-informed-dealed-volume
        set money money + dealed-price * exchange-informed-dealed-volume
      ]
    ]
  ]
end


to allocate-money
  let m 0
  let d 1
  ifelse initial-average-wealth > global-wealth * 4
  [set m initial-average-wealth]
  [set m global-wealth * 4]
  set d m / 10
  if initial-wealth-distribution = "constant" [set money m]
  if initial-wealth-distribution = "normal" [set money round(random-normal m d)]
  if initial-wealth-distribution = "uniform" [set money round( m * 3 / 4 + random-float (1 / 2 * m))]
  if initial-wealth-distribution = "pareto" [set money round((m * 0.9) / ((random-float 1) ^ (1 / 5)))]
  if initial-wealth-distribution = "lognormal"
  [set money round(exp(ln(m) - (1 / 2) * ln(1 + (d / m) ^ 2) + (random-normal 0 1) * (ln(1 + (d / m) ^ 2)) ^ (1 / 2)))]
  set money_initial money
end
@#$#@#$#@
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Investor-population
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Price
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PENS
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"intrinsic-value" 1.0 0 -7500403 true "" "plot dividend ticks / r * 100"

PLOT
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Trading Volume
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go
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"best" 1.0 0 -13840069 true "" ""
"worst" 1.0 0 -2674135 true "" ""

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show all code
clear-output\nask codeturtles with [length gp-compiledcode > 6][ \n  output-print self \n  output-print gp-compiledcode \n  output-print \"----------\"\n  ]
NIL
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OBSERVER
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MONITOR
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%-informed
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file-choose
sh.csv
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PENS
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INPUTBOX
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max-popsize
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MONITOR
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PLOT
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networth distribution
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PENS
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SLIDER
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r
r
0.01
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%
HORIZONTAL

PLOT
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best-yield-by-group
NIL
NIL
0.0
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0.0
1.0
true
true
"" "if ticks > 100 [set-plot-x-range (ticks - 100) ticks]"
PENS
"noise-best" 1.0 0 -16777216 true "" "if ticks > 0 [plot max [networth / money_initial] of investors with [color = white]]"
"uninformed-best" 1.0 0 -2674135 true "" "if ticks > 0 [plot max [networth / money_initial] of investors with [color = red]]"
"informed-best" 1.0 0 -13345367 true "" "if ticks > 0 [plot max [networth / money_initial] of investors with [color = blue]]"
"noise-mean" 1.0 0 -9276814 true "" "if ticks > 0 [plot mean [networth / money_initial] of investors with [color = white]]"
"uninformed-mean" 1.0 0 -1604481 true "" "if ticks > 0 [plot mean [networth / money_initial] of investors with [color = red]]"
"informed-mean" 1.0 0 -10649926 true "" "if ticks > 0 [plot mean [networth / money_initial] of investors with [color = blue]]"

INPUTBOX
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code
sh600519
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CHOOSER
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data-source
data-source
"from-file" "webAPI" "monte-carlo"
1

INPUTBOX
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cross_fitness_weight
[0.1 0.1 0.1 0.1 0.1 0.1 0 0 0 0.4\n]
1
1
String

@#$#@#$#@
## Where I can find more information?



## CREDITS AND REFERENCES

If you want to use this model, you have to quote the author: Gil, Alvaro. Artificial Stock Market. Pontificia Universidad Javeriana (Colombia) 2012. alvaro.gil@polymtl.ca
@#$#@#$#@
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@#$#@#$#@
NetLogo 5.3.1
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
<experiments>
  <experiment name="experiment" repetitions="1" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="50"/>
    <metric>count turtles</metric>
    <enumeratedValueSet variable="Investor-population">
      <value value="10"/>
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Growth?">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="show_messages?">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-average-wealth">
      <value value="100"/>
      <value value="200"/>
    </enumeratedValueSet>
  </experiment>
</experiments>
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