Short Trade on SHIB 31 May 2025 at 08:52:42
Take profit at 1.242E-5 (0.64 %) and Stop Loss at 1.255E-5 (0.4 %)
Short Trade on SHIB 31 May 2025 at 08:52:42
Take profit at 1.242E-5 (0.64 %) and Stop Loss at 1.255E-5 (0.4 %)
Position size of 1819.5142 $
Take profit at 1.242E-5 (0.64 %) and Stop Loss at 1.255E-5 (0.4 %)
That's a 1.6 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.77 |
| Prediction 2 | Probability |
|---|---|
| 2 | 0.73 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.801027 |
Indicators:
103594
0.00303923
103909
0.801027
104117
-0.00200455
103909
106328
-0.0227492
103909
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 31 May 2025 08:52:42 |
31 May 2025 09:00:00 |
7 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.25E-5 | 1.255E-5 | 1.242E-5 | 1.6 | 5.26E-6 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 1.255E-5 - 1.25E-5 = 5.0E-8
Récompense (distance jusqu'au take profit):
E - TP = 1.25E-5 - 1.242E-5 = 8.0000000000001E-8
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 8.0000000000001E-8 / 5.0E-8 = 1.6
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1819.5142 | 100 | 145561132.7528 | 18.20 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / 5.0E-8 = 160000000
Taille de position USD = 160000000 x 1.25E-5 = 2000
Donc, tu peux acheter 160000000 avec un stoploss a 1.255E-5
Avec un position size USD de 2000$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 160000000 x 5.0E-8 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 160000000 x 8.0000000000001E-8 = 12.8
Si Take Profit atteint, tu gagneras 12.8$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.64 % | 11.64 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.4 % | 7.28 $ |
| PNL | PNL % |
|---|---|
| -7.28 $ | -0.40 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.04 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.242E-5
[entry_price] => 1.25E-5
[stop_loss] => 1.2555E-5
[rr_ratio] => 1.45
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.242E-5
[entry_price] => 1.25E-5
[stop_loss] => 1.256E-5
[rr_ratio] => 1.33
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.242E-5
[entry_price] => 1.25E-5
[stop_loss] => 1.2565E-5
[rr_ratio] => 1.23
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.242E-5
[entry_price] => 1.25E-5
[stop_loss] => 1.2575E-5
[rr_ratio] => 1.07
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-31 09:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => -9.9999999999999E-9
[max_drawdown] => 1.0E-6
[rr_ratio] => -0.01
[high] => 0.00001267
[low] => 0.00001251
[mfe_pct] => -0.08
[mae_pct] => 1.36
[mfe_mae_ratio] => -0.06
[candles_analyzed] => 24
[start_at] => 2025-05-31T08:52:42-04:00
[end_at] => 2025-05-31T10:52:42-04:00
)
[long_term] => Array
(
[max_gain] => -9.9999999999999E-9
[max_drawdown] => 1.0E-6
[rr_ratio] => -0.01
[high] => 0.00001282
[low] => 0.00001251
[mfe_pct] => -0.08
[mae_pct] => 2.56
[mfe_mae_ratio] => -0.03
[candles_analyzed] => 72
[start_at] => 2025-05-31T08:52:42-04:00
[end_at] => 2025-05-31T14:52:42-04:00
)
[breakout] => Array
(
[high_before] => 0.00001255
[high_after] => 0.00001282
[low_before] => 0.00001230
[low_after] => 0.00001251
[is_new_high] =>
[is_new_low] =>
)
)