Long Trade on TAIKO 20 May 2025 at 06:44:46
Take profit at 0.743 (1.14 %) and Stop Loss at 0.729 (0.76 %)
Long Trade on TAIKO 20 May 2025 at 06:44:46
Take profit at 0.743 (1.14 %) and Stop Loss at 0.729 (0.76 %)
Position size of 1045.468 $
Take profit at 0.743 (1.14 %) and Stop Loss at 0.729 (0.76 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.59 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.54 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.193814 |
Indicators:
105533
-0.00388019
105123
0.193814
104995
0.00121644
105123
104275
0.00813737
105123
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 20 May 2025 06:44:46 |
20 May 2025 07:15:00 |
30 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.7346 | 0.729 | 0.743 | 1.5 | 0.1176 |
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 = 0.729 - 0.7346 = -0.0056
Récompense (distance jusqu'au take profit):
E - TP = 0.7346 - 0.743 = -0.0084
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0084 / -0.0056 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1045.468 | 100 | 1423.18 | 10.45 |
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 / -0.0056 = -1428.57
Taille de position USD = -1428.57 x 0.7346 = -1049.43
Donc, tu peux acheter -1428.57 avec un stoploss a 0.729
Avec un position size USD de -1049.43$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -1428.57 x -0.0056 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -1428.57 x -0.0084 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.14 % | 11.95 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.76 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -0.76 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.87122243397768 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.743
[entry_price] => 0.7346
[stop_loss] => 0.72844
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-20 07:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.743
[entry_price] => 0.7346
[stop_loss] => 0.72788
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-20 07:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.743
[entry_price] => 0.7346
[stop_loss] => 0.72732
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-20 07:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.743
[entry_price] => 0.7346
[stop_loss] => 0.7262
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-20 11:50:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0035999999999999
[max_drawdown] => 0.0082
[rr_ratio] => 0.44
[high] => 0.73820000
[low] => 0.72640000
[mfe_pct] => 0.49
[mae_pct] => 1.12
[mfe_mae_ratio] => 0.44
[candles_analyzed] => 24
[start_at] => 2025-05-20T06:44:46-04:00
[end_at] => 2025-05-20T08:44:46-04:00
)
[long_term] => Array
(
[max_gain] => 0.0145
[max_drawdown] => 0.0082
[rr_ratio] => 1.77
[high] => 0.74910000
[low] => 0.72640000
[mfe_pct] => 1.97
[mae_pct] => 1.12
[mfe_mae_ratio] => 1.77
[candles_analyzed] => 72
[start_at] => 2025-05-20T06:44:46-04:00
[end_at] => 2025-05-20T12:44:46-04:00
)
[breakout] => Array
(
[high_before] => 0.76410000
[high_after] => 0.74910000
[low_before] => 0.73160000
[low_after] => 0.72640000
[is_new_high] =>
[is_new_low] =>
)
)