Hi @Sindhulok ,
Do run the commands on the cmd terminal and then run the code -
pip install Dhan-Tradehull==3.3.1
pip install pandas
pip install TA-Lib
Hi Sir,
I am getting all values correct except ema 200 why sir?
Hi Sir, Thank you,
After running the commands, it showed “requirements already satisfied” for all three commands.
And after that, when I run the code, the program stops with the same error.
Thank you.
गुरुदेव, चरण स्पर्श।
आपके आशीर्वाद से डेटा बैकटेस्ट करने तक पहुंच गया हूं |
इस बैकटेस्ट डेटा पर मार्ग दर्शन करें , क्या यह ट्रेड के लिए ठीक है?
Backtesting 315 days: 2025-01-22 to 2025-12-31 ==================================================================== NIFTY SMART ALGO TRADERS Period : 2025-01-22 to 2025-12-31 Signals: buySignal + sellSignal ==================================================================== Total Trades : 242 (~20.2/month) Wins : 123 (50.83%) Losses : 119 Break Even : 0 ---------------------------------------------------- Total PnL (index fut pts) : 3723.57 PnL (₹, 1 lot=65) : ₹242,032 PnL (₹, 2 lots=130) : ₹484,064 Avg Win (pts) : 61.84 Avg Loss (pts) : -32.63 Risk:Reward : 1 : 1.90 Profit Factor : 1.96 Max Win (pts) : 223.99 Max Loss (pts) : -70.59 Max Drawdown (pts) : -250.07 Max Drawdown (₹,1lot) : ₹-16,255 SQN Score : 4.52 ==================================================================== SQN Rating : Good By Exit Reason: count total avg win_rate reason ATR SL 108 -3759.17 -34.81 0.0 SL/TSL Exit 1 27.00 27.00 100.0 Square Off 36 765.50 21.26 75.0 TSL Activated 2 -43.50 -21.75 0.0 Target 95 6733.74 70.88 100.0 By Signal: count total avg win_rate signal S1 62 1100.07 17.74 51.61 S2 50 751.55 15.03 50.00 S3 56 464.31 8.29 46.43 S4 22 657.05 29.87 63.64 S5 52 750.59 14.43 50.00 By Type (CALL/PUT): count total avg win_rate type CALL 124 1759.51 14.19 48.39 PUT 118 1964.06 16.64 53.39 Monthly Breakdown: trades pnl win_rate month 2025-01 9 263.41 56% 2025-02 22 341.96 55% 2025-03 18 246.38 50% 2025-04 20 635.43 55% 2025-05 15 450.44 60% 2025-06 21 189.76 43% 2025-07 27 51.26 37% 2025-08 21 216.65 52% 2025-09 20 29.39 35% 2025-10 21 661.40 71% 2025-11 21 339.93 52% 2025-12 27 297.56 52%
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Hello Imran Sir,
I am trying to run the code on Dhan cloud
and getting this error below
›[2026-07-06 00:00:17 IST] ==================== SCRIPT OUTPUT START ====================
›[2026-07-06 00:00:19 IST] Codebase Version 3.3.0
›[2026-07-06 00:00:19 IST] Traceback (most recent call last):
›[2026-07-06 00:00:19 IST] File “/tmp/script.py”, line 11, in
›[2026-07-06 00:00:19 IST] tsl = Tradehull(ClientCode=client_code, mode=“pin_totp”, pin=pin, totp_secret=totp_secret)
›[2026-07-06 00:00:19 IST] ^^^^^^^^^^^
›[2026-07-06 00:00:19 IST] NameError: name ‘client_code’ is not defined
›[2026-07-06 00:00:19 IST] ==================== SCRIPT OUTPUT END ====================
›[2026-07-06 00:00:19 IST] Execution failed with exit code: 1
Can you please share the basic code as well required dependencies along with versions?
I am using following CODE
- Dependencies, its no taking TALIB its asking for version
ppandas==2.2.0
scipy==1.13.0
dhanhq==2.2.0
Dhan-Tradehull==3.3.0
rich==14.1.0
Code script as sample to test that code runs
# Python Strategy Template
from Dhan_Tradehull import Tradehull
#import talib
#from rich import print
import time
import datetime
#import json
#from datetime import datetime
tsl = Tradehull(ClientCode=client_code, mode=“pin_totp”, pin=pin, totp_secret=totp_secret)
available_balance = tsl.get_balance()
watchlist = [“BEL”, “RELIANCE”]
# Getting tick data in algo
ltp_data = tsl.get_ltp_data(names=watchlist)
print(ltp_data)
Hi @Sindhulok ,
Check once whether the line is there on code -
from Dhan_Tradehull import Tradehull
client_code = ""
tsl = Tradehull(client_code, mode="pin_totp", pin="", totp_secret="")
Share the code so that it can be checked.
Hi @vinay_kumaar ,
Good to see you after a long time
The back test analysis looks in-depth and good.
Check for below items -
- The backtesting period of 1 year, can cause curve fit results for bullish bias
- Also have we considered transaction cost involved
Rest the back test looks good with 50pct win rate and 1:2 rr
Hi @ROCKY2 ,
If any details are still pending, share them so that we can provide an appropriate answer.
Hi @praveen_kumar_kaka1 ,
Check the Historical Data once and try running it again. If the issue still persists, share the code so that it can be verified.
Back test result dashboard
https://claude.ai/public/artifacts/8626183f-926c-4675-951f-b2d8cc2b2784
1 Like
Hi @vinay_kumaar ,
The backtesting does not currently include transaction costs.
Thank you very much sir. For your guidance.
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Sir a sab karne keliye konda thik rahega laptop ya dekstop.
Or kaisa configuration sala plz sir reply dena thank you.
Sir a sab karne keliye konda thik rahega laptop ya dekstop.Or kaisa configuration sala plz sir reply dena thank you.
Backtesting dashboard looks too good 
@vinay_kumaar
(post deleted by author)
Hi @Manish_Biswas ,
It depends on your requirements and the type of application you plan to run. For algorithm development and testing, both a laptop and a desktop are suitable.
However, if your objective is to place orders through the API, a static IP is required. In that case, you can either use a server with a static IP or a broadband connection that provides a static IP.